How To Create EA For Binary Options - video dailymotion

Professional Auto Trading EA Robots & Indicators For Forex, Stock, Binary Options, Bitcoin Trading

Professional Auto Trading EA Robots & Indicators For Forex, Stock, Binary Options, Bitcoin Trading submitted by elena_avr to altredo [link] [comments]

How do you think they'll rename the genders in Mass effect Legendary?

We know they are "modernizing" it and we know the companies (EA, Bioware) and how they move developed and changed over the years. We also know how the gaming and Hollywood/entertainment industries have embraced the ideology of infinite genders.
We've already seen games with A or B. We've seen Male, Female, Non-Binary. We've seen Feminine and Masculine options. But the Bioware Community and Mass Effect's current fans have grown very sensitive over the years.
So I ask you, the community, how you think they should go about this. Given that each Shepard is voiced by a different person, how should the choices be phrased for gender in the very beginning of the games?
Edit: For anyone 100% confident they won't change it from "Male and Female" to something additional or different, I'm willing to take 10 (up to 20 if there's some dumb $100 version) to 1 bets. If you're right, I'll buy you the game in it's most expensive form (not a console bundle). If you're wrong, you send me a $5 gift card code on Xbox or Amazon. Deal? PM me if you're confident enough to gamble $5 against $50-$70+!
submitted by UsurpUsername to masseffect [link] [comments]

RESULTS of the State of the Game Survey: September 2020

Hi all,

It’s time for the results!

Thank you to everyone who took the time to respond - we had over 1,750 responses, which is great! These insights wouldn’t be possible without your time and support.

As always, neither myself nor this survey are associated with Intelligent Systems or Nintendo in any way. Please direct feedback about the game itself to the official channels.

Now let’s get into it!
 
Previous Survey Results:
April_2020_State_of_the_Game_Survey

~ Demographics ~

53.8% began playing FE:H in February 2017, with 20.0% more joining during the first year of the game. 12.0% of respondents joined during the second year, 8.7% joined during the third, and 4.0% joined during the fourth year (the last ~7 months).

The age range breakdown of respondents is as follows:

75.8% of respondents identified as Male, 18.4% as Female, and 3.0% as Non-binary.

24.6% of respondents have never missed a daily login, while a further 38.8% have missed less than a month’s worth of logins, 11.7% missed 1-2 months, 9.9% missed 3-6 months, 5.8% missed 7-12 months, and 4.7% missed over a year’s worth.

33.5% report being F2P, while 28.7% have spent less than $100, 18.3% spent between $100 - $499, 7.3% spent between $500 - $999, and 8.7% have spent over $1000.

46.6% last spent money on FE:H during the fourth year of the game (the last 3 months), while 6.6% last spent money during the third year of the game, 5.8% last spent during the second year of the game, and 5.1% last spent money during the first year of the game.

~ Summoning ~

“Which of the following banners have you used orbs on at least once?”
  • (86.8%) A New Future (CYL 4)
  • (60.2%) Overseas Memories (3H Summer)
  • (59.8%) Dark Burdens (Fallen Heroes)
  • (57.9%) Legendary Heroes: Edelgard
  • (55.2%) Legendary Heroes: Corrin
  • (53.1%) Book IV Mid: Mirabilis and More
  • (52.9%) Hero Fest
  • (52.2%) Pirate’s Pride
  • (44.5%) Mythic Heroes: Hel
  • (44.2%) Mythic Heroes: Mila
  • (43.7%) Bridal Beloveds
  • (39.6%) Summer Passing (Sacred Stones Summer (mostly))
  • (37.5%) Legendary Heroes: Seliph
  • (31.1%) Light and Shadow (New Mystery)

“Which of the following banners did you use the most orbs on?”
  • (44.8%) A New Future (CYL 4)
  • (8.6%) Overseas Memories (3H Summer)
  • (5.9%) Legendary Heroes: Corrin
  • (5.8%) Dark Burdens (Fallen Heroes)
  • (5.5%) Pirate’s Pride
  • (4.9%) Legendary Heroes: Edelgard
  • (4.5%) Hero Fest
  • (3.5%) Mythic Heroes: Hel
  • (3.0%) Bridal Beloveds
  • (2.8%) Book IV Mid: Mirabilis and More
  • (2.5%) Summer Passing (Sacred Stones Summer (mostly))
  • (2.5%) Legendary Heroes: Seliph
  • (2.3%) Mythic Heroes: Mila
  • (1.7%) Light and Shadow (New Mystery)

“What was your favorite banner?”
  • (37.4%) A New Future (CYL 4)
  • (10.9%) Dark Burdens (Fallen Heroes)
  • (8.9%) Pirate’s Pride
  • (8.5%) Overseas Memories (3H Summer)
  • (5.7%) Hero Fest
  • (5.4%) Legendary Heroes: Corrin
  • (3.3%) Legendary Heroes: Edelgard
  • (2.9%) Legendary Heroes: Seliph
  • (2.6%) Book IV Mid: Mirabilis and More
  • (2.6%) Bridal Beloveds
  • (2.5%) Summer Passing (Sacred Stones Summer (mostly))
  • (2.3%) Light and Shadow (New Mystery)
  • (1.5%) Mythic Heroes: Hel
  • (1.4%) Mythic Heroes: Mila

“Did you spend money specifically to summon on any of the banners below?”
  • (17.6%) A New Future (CYL 4)
  • (10.3%) Overseas Memories (3H Summer)
  • (8.9%) Legendary Heroes: Corrin
  • (6.8%) Dark Burdens (Fallen Heroes)
  • (6.6%) Pirate’s Pride
  • (6.5%) Legendary Heroes: Edelgard
  • (5.8%) Hero Fest
  • (5.1%) Bridal Beloveds
  • (4.9%) Mythic Heroes: Hel
  • (4.8%) Book IV Mid: Mirabilis and More
  • (4.8%) Mythic Heroes: Mila
  • (4.8%) Summer Passing (Sacred Stones Summer (mostly))
  • (3.4%) Light and Shadow (New Mystery)
  • (3.3%) Legendary Heroes: Seliph

~ Summoning Mechanics ~

33.7% spent orbs on the Hero Fest banner AFTER Intelligent Systems announced how they would be compensating players for the Hero Fest banner glitch, compared to 61.7% who did not.

30.5% say that knowing about the compensation for the Hero Fest banner glitch caused them to spend more orbs on the banner than they would have otherwise, compared to 41.5% who say it did not. 28.0% did not spend orbs on the Hero Fest banner.

34.3% feel positively or very positively about the quality of 4* focuses on regular banners, compared to 26.9% who feel negatively or very negatively.

69.7% feel positively or very positively about the quality of 4* focuses on seasonal banners, compared to 7.8% who feel negatively or very negatively.

53.8% report that the system guaranteeing a free 5* after 40 summons generally makes them summon more, while 5.4% report that it generally makes them summon less and 36.1% report no change in their summoning habits on New Heroes banners.

“If all New Heroes Banners used the permanent 40-summons-for-a-guaranteed-5* system that CYL4 used, how would your orb-spending habits on New Heroes banners change?”
  • (1.8%) I would spend fewer orbs than I did before
  • (22.3%) I would spend the same amount of orbs I usually do
  • (10.3%) I would spend more orbs than I did before
  • (62.2%) My spending would depend more on the Heroes offered

~ Choose Your Legends IV ~

“Which CYL4 Brave Heroes have you summoned, whether from the guaranteed choice banner or the regular banner?”
  • (78.0%) Dimitri
  • (73.4%) Claude
  • (65.7%) Edelgard
  • (56.6%) Lysithea

Of the summoning milestones on the CYL4 banner:
  • (20.2%) did not reach any of these summoning milestones
  • (79.7%) reached 40 summons
  • (41.0%) reached 80 summons
  • (19.8%) reached 120 summons
  • (11.1%) reached 160 summons

45.7% say that the free 5* hero at 40, 80, 120 and 160 summons caused them to spend more on CYL4 than they would have otherwise, while 50.3% say it did not.

22.8% say that the potential use of a new Brave Hero in future F2P Guides for content such as Hero Battles influenced their Brave Heroes summons, compared to 74.0% who say it did not.

“If you could only get ONE of the new Brave Heroes, which one would you choose?”
  • (36.8%) Dimitri
  • (28.9%) Edelgard
  • (22.9%) Claude
  • (7.8%) Lysithea

“Which Brave Hero do you believe is the overall strongest?”
  • (60.7%) Edelgard
  • (21.9%) Dimitri
  • (7.9%) Claude
  • (1.2%) Lysithea

“Which Brave Hero do you believe is the overall weakest?”
  • (61.2%) Lysithea
  • (13.7%) Claude
  • (7.0%) Dimitri
  • (1.7%) Edelgard

“Which Brave Hero do you believe has the best art?”
  • (32.9%) Claude
  • (27.3%) Dimitri
  • (20.1%) Lysithea
  • (13.3%) Edelgard

“Which set of Brave Heroes is your favorite overall?”
  • (24.2%) 1st CYL (Ike, Lucina, Lyn, Roy)
  • (19.4%) 2nd CYL (Ephraim, Celica, Hector, Veronica)
  • (11.2%) 3rd CYL (Alm, Camilla, Eliwood, Micaiah)
  • (39.9%) 4th CYL (Claude, Dimitri, Edelgard, Lysithea)

23.6% feel positively or very positively about the addition of Jorge as the CYL4 GHB hero, compared to 33.0% who feel negatively or very negatively.

86.3% believe CYL5 should add further protections against vote botting, compared to 4.4% who do not.

70.1% believe CYL5 should require Nintendo Account sign-in to vote, compared to 12.6% who do not.

~ Feh Pass and Resplendent Heroes ~

41.2% feel negatively about the addition of the Feh Pass (down 15.8% from the last survey), compared to 11.6% who feel positively (up 1.5% from the last survey). 46.1% are neutral (up 14.3% from the last survey).

40.2% have purchased the Feh Pass, compared to 59.8% who have not. This is a 9.5% increase compared to the last survey, following a 6.7% increase before that.

Of those who have subscribed to Feh Pass, 17.4% have purchased Resplendent Heroes separately (up 12.9% from the last survey), compared to 82.6% who have not.

“Which Resplendent Hero has your favorite art?”
  • (13.4%) Cordelia
  • (12.8%) Eliwood
  • (8.7%) Eirika
  • (8.4%) Olwen
  • (7.5%) Sophia
  • (7.3%) Minerva
  • (6.0%) Azura
  • (5.7%) Lyn
  • (5.2%) Ike
  • (4.1%) Sanaki
  • (4.0%) Roy
  • (3.7%) M!Robin
  • (2.3%) Hector
  • (1.6%) Linde
  • (1.3%) Alm

“Which Resplendent outfit theme is your favorite?”
  • (16.3%) Muspell
  • (15.0%) Askr
  • (14.8%) Nifl
  • (11.5%) Embla
  • (11.5%) Hel
  • (10.3%) Ljosalfheimr

~ Miscellaneous ~

15.8% feel positively about the introduction of Harmonized Heroes, compared to 31.3% who feel negatively.

29.5% have a Harmonized Hero, compared to 70.1% who do not.

14.6% feel positively or very positively about the Resonant Battles game mode, compared to 51.5% who feel negatively or very negatively.

4.6% say that the Resonant Battles game mode influenced them to pull for Harmonized Heroes, compared to 94.5% who say it has not.

34.8% believe the new Arena maps are better than the maps they replaced, while 7.4% believe they are worse, and 36.7% believe they are about the same.

“How often do you use Auto Dispatch in Aether Raids?”
  • (34.3%) All of them, always
  • (0.2%) All of them, in Light Season
  • (3.6%) All of them, in Astra season
  • (24.3%) Only sometimes
  • (37.6%) I never use it

“IV Mango” is the preferred term for Trait Fruit according to 32.2% of respondents, followed by “IVcado” at 28.9%, “Fruit” at 7.6%, and “Dragonfruit” at 6.6%. The remaining 24.7% prefer to just call them Trait Fruit.

39.3% say they will use their first Trait Fruits on a Heroic Grails unit, while 32.9% say they will use them on a Summonable unit, and 1.3% say they will use them on an Askr unit.

58.7% prefer Stat Boosts for Legendary Heroes, compared to 26.3% who prefer Pair-Up.

56.5% generally prefer Regular Duo Heroes, compared to 8.8% who prefer Harmonized Duo Heroes.

1.8% say that the update that raised the minimum hardware/software required to play the game affected their ability to play FE:H, compared to 95.8% who say it did not.

~ Recurring Miscellaneous ~

“Which game do you want a New Heroes banner from the most?”
  • (26.0%) Three Houses (-1.9%)
  • (9.7%) Radiant Dawn (+0.5%)
  • (7.7%) Sacred Stones (+0.2%)
  • (7.5%) Awakening (-3.1%)
  • (6.4%) Genealogy of the Holy War (-1.3%)
  • (6.1%) Path of Radiance (-0.9%)
  • (6.0%) Gaiden / Shadows of Valentia (+2.7%)
  • (5.9%) TMS #FE (+1.9%)
  • (5.4%) Blazing Blade (+1.3%)
  • (5.0%) Fates (+1.0%)
  • (4.2%) Thracia 776 (+0.8%)
  • (2.4%) Binding Blade (+0.6%)
  • (0.8%) Shadow Dragon and the Blade of Light / Shadow Dragon (-1.0%)
  • (0.8%) Mystery of the Emblem / New Mystery of the Emblem (-1.1%)

“How much do you care about your rank in the following modes?”
  • (2.90/5.00 average) Arena
  • (2.82/5.00 average) Aether Raids
  • (2.48/5.00 average) PvE game modes with player ranking boards
  • (1.82/5.00 average) Arena Assault

“How have recent changes to FE:H changed your opinion on the game as a whole?”
  • (39.3%) My opinion was positive and has stayed positive
  • (5.7%) My opinion used to be negative, but has turned positive
  • (40.1%) Neutral
  • (9.9%) My opinion used to be positive, but has turned negative
  • (5.1%) My opinion was negative and has stayed negative

~ Intelligent Systems Approval Ratings ~

The approval ratings are calculated by the proportion of Approve responses compared to the number of both Approve and Disapprove responses.

Percent who approve of the way Intelligent Systems is handling:
  • 74.6% - The addition of new heroes / characters to the game (+11.9)
  • 69.4% - The gacha mechanics and summoning banners (+5.5)
  • 59.2% - The story/plot (+9.4)
  • 85.2% - Unranked PvE game modes (Hero Battles, Forging Bonds, Tactics Drills, Lost Lore, Hall of Forms) (-1.2)
  • 50.7% - Ranked PvE game modes (Voting Gauntlets, Tempest Trials, Grand Conquest, Allegiance Battles, Rokkr Sieges, Mjolnir's Strike) (-2.6)
  • 34.6% - Arena (-6.2)
  • 48.0% - Arena Assault (+6.7)
  • 45.8% - Aether Raids (+12.7)

40.5% believe Intelligent Systems cares about its Free to Play userbase (up 10.1% from the last survey), while 34.7% do not. This continues the upward trend from the previous survey, bringing us to 8.8% down from where we were before the February drop).

42.9% approve of the way Intelligent Systems is handling Fire Emblem: Heroes as a whole (up 14.8% from the last survey), while 16.9% disapprove. This continues the upward trend from the previous survey, bringing us to only 2.5% down from where we were before the February drop).

A NOTE ABOUT METHODOLOGY: The overall approval ratings question above has traditionally been the exact percent of Approve responses, as a proportion with both Neutral and Disapprove responses. Note that this is different than the way approval is calculated for individual modes (the proportion of Approve responses compared to the number of both Approve and Disapprove responses), where Neutral responses are excluded. The difference in calculation has continued this way in order to maintain comparability with previous survey results.
For comparisons sake, the overall approval rating trend going by raw Approval percentage over the last 4 surveys is: 50.6% (Dec) -> 22.9% (Feb) -> 28.1% (Apr) -> 42.9% (Sept)
Whereas the overall approval rating trend going by proportion of Approve/Disapprove with the Neutrals excluded over the last 4 surveys is: 82.2% (Dec) -> 41.0% (Feb) -> 51.3% (Apr) -> 71.7% (Sept).

~ Bonus Questions ~

“Who is your Favorite Hero added since the last survey?”
  • Dimitri (Brave) is the winner, followed by Edelgard (Brave), then Claude (Brave).
  • Full results here: [Graph]

“Who is your Most Wanted Hero added since the last survey?”
  • Tibarn (Pirate) is the winner, followed by Corrin (F, Legendary), then Micaiah (Duo, Bridal).
  • Full results here: [Graph].

“What would be the best Harmonized Hero (a pair of two heroes from different games) and why?”:

Rather than selecting a subset of responses this time, the link below is to a google sheet of almost all unique responses. I cleaned it up a little bit to remove “idk” type answers, duplicates, and partial string duplicates, so don’t worry if you don’t see your exact response in it.

[Full Responses].

~ Feedback ~

As always, I received lots of great feedback, both in your survey responses and in the thread itself. A heartfelt thank you to all participants for your encouragements and criticisms - these surveys wouldn’t be where they are without your feedback. But it’s not all serious; feedback messages also included:

  • #FloofMomGang #GiveLeoAGoodFuckingAltForOnce #NowiRefineWhen #TelliusNewHeroesPlz #ElinciaResplendentWhen #JusticeForDedue #PleaseRemoveLChromInstysIAmBeggingYouICantLiveLikeThisAnymore
  • “There once was a CYL4 banner / That hit my orbs hard like a hammer / The very next day / FloomMom Duo came our way / Now I'm stuck bartering with a loan planner”
  • bonk, go to survey jail”
  • “Am I also allowed to put in "Norne and Azura" for a Harmonized Hero pair? No reason.”
  • “Brace yourself. Winter (armours) are coming!” “Brave Hector's refine has made me so very happy with it's inclusion. Go shove your bow up your butt Legendary Chrom.”
  • “Give me villager alts or give me death”
  • “I expect the next survey to come with +12 to attack, null follow up, and special cooldown reduction.”
  • “The true best Harmonized Hero would be Azura and Roy since it would make me uninstall the game and never want to play a gacha ever again”
  • “My headcanon for the dream storyline is that the evil fairies have the Summoner off picking up pebbles that look like orbs. Fredrickson would be proud.”
  • “Where's the most wanted unit to add to the game question so I can shout my want for Seteth into the void?”
  • “I no longer dab, for Legendary Seliph has finally appeared.”
  • And greetings from Argentina, the Bahamas, Brazil, Chile, Colombia, Finland, Germany, Greece, Hong Kong, Ireland, Russia, South Korea, Sweden, the UK, Vietnam, the Pacific Northwest, Alaska, Toronto, and St. Louis, as well as from many fictional locations!
And some personal/meta comments:
  • “Any chance we end up seeing another Super Serious Survey in the not-so-distant future?” -> I could not believe it’s been over a year since the last one! We’ll have to do one soon!
  • “Feels like the end of an era, not having to count all my five stars” -> I know, right? I may have it return in a side survey for the most hardcore of respondents at some point, since some people are asking about it and it would be good to get data on it every once in a while.
  • “I was looking through your Nornes skills and saw you haven't given her live for bounty yet! It's the best skill for her, what are you doing!?” -> I am a fraud :( I have given her Live for Honor though :P
  • “What do you hope for in FEH?” -> Norne alt, Resplendent Jaffar, and Shamir
  • Multiple people mentioned that they had returned after a long break and were surprised to see Norne instead of Azura! Welcome back!
  • I also missed a bunch of other possible Trait Fruit nicknames, which I knew would inevitably happen. Sorry!

Note: Please don’t ask me to feature your feedback comment; it’s the only guaranteed way to not have your comment added!

Finally, the suggestion to have separate options for serious vs non-serious feedback was a good idea, I’ll try that out on the next survey!

~ Closing Remarks ~

If you missed out on responding to this survey when it was available, consider subscribing to FEHSurveys. This subreddit serves as a place to organize FE:H-related surveys, make new releases more visible, and make it easier for users to see when surveys are active.

Thanks again to everyone who participated! I hope you find the results interesting, and if there’s anything else you think can be discovered from the data, let me know and I’ll do my best to oblige!
 
 
Weekly/Important Megathreads:
Weekly Discussion Megathread
Tempest Trials+: Dancing Affinity Megathread
Forging Bonds: Beyond Blood Rebout Megathread
Limited Hero Battles Megathread
submitted by ShiningSolarSword to FireEmblemHeroes [link] [comments]

College apps suck, good luck to anyone currently applying!

Hey all! I know this time of year is really tough for anyone applying to college. Stick in there!
Demographics
Intended Major(s): Classics
Academics
Standardized Testing
Extracurriculars/Activities
  1. Local chapter of Junior Classical League (4 years), President
  2. Orchestra (4 years), Concertmaster
  3. Debate (4 years), Team Captain, won state in my senior year
  4. Teaching Assistant at Chinese camp (4 years)
  5. Science Olympiad (4 years), Team Captain
  6. Pit Orchestra (3 years)
  7. Congressional Debate (2 years)
  8. Quiz Bowl (4 years)
  9. Environmental Club (3 years)
  10. Private Violin Tutor (1 year)
Awards/Honors
  1. Questbridge National College Match Scholarship Finalist
  2. National Merit Scholar
  3. National Speech and Debate Association Superior Distinction
Letters of Recommendation
I had really good relationships with both of my recommenders. One was my Latin teacher who I had been taking classes from all 4 years, and was the mentor to JCL, an activity that I was really involved in. The other was my APUSH teacher who coached Quiz Bowl, which I was involved in for all four years of high school. I also chatted with both teachers pretty regularly about non-class stuff.
In the end, both of their recommendations were... just fine. Not bad by any means, but nothing about them stands out, they were just generic. (I was able to see them bc I had to request pdf versions from the teachers for a scholarship later.)
Interviews
My Yale interview was amazing, it was a phone interview with an AO that wasn't in charge of my area. It was meant to be ~30 minutes but we talked for over an hour, and it was a really fun conversation! Since I applied REA, it was my first college interview experience and I was so relieved that it felt like a natural conversation. We talked about history and classics (my intended major at the time) and random small historical things that I was passionate about.
My other interviews... not so great. I had interviews for Harvard and Princeton, and they were both just with unenthused alumni that lived in my area. The interviewers just asked me questions about test scores and extracurriculars that would've already been covered by my application. Harvard interviewer did let me know that the interview is one of the least-considered parts of your application.
Essays
My personal statement was a mediocre child-of-immigrants essay. There is truly so little to say about it. I think my supplementals and short answers were much better written, and I really liked my optional essay for Harvard, which was about mythology and gender, how I related old myths to problems in my personal life.
Decisions (indicate ED/EA/REA/SCEA/RD)
Acceptances:
Waitlists/Rejections: N/A
*I applied to only top schools in RD bc I had already gotten into Yale REA and got good fin aid from them, so I didn't end up applying to any more targets or safeties.
Additional Information:
Feel free to comment or pm me with any questions! I remember how stressful and soul-sucking this process is and would love to be of help!
Edit: I'm already a year into college (not a prefrosh) so feel free to ask me questions about Yale student life too! I'm pretty involved in activist and queer circles :)
submitted by plain_tomato to collegeresults [link] [comments]

I have no idea how this is going to work

Press J to jump to the feed. Press question mark to learn the rest of the keyboard shortcutsJUMP TO CONTENTOneWordBan📷103Get Coins📷iliekcats-57.9k karma5User account menu📷

A Word A Day Gets Banned

OneWordBan

JOINED📷HotNewTopNEW POSTS•

Which dead person you want to come back alive, and why?

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Have you recently built a new gaming PC or upgraded your GPU? Run 3DMark Stress Tests to check the reliability & stability of your system.

📷PROMOTED•Posted byu/UL_Benchmarks1 month agostore.steampowered.com/3DMark/SHOP NOW0 CommentsGive AwardShareSave1

You all had the energy last week

📷Posted byu/JamesMBuddy123Ban Machine Overlord 13 hours ago4 CommentsGive AwardShareSaveHideReport2

Energy

📷Posted byu/Fourmizzz02,1215 hours ago3 CommentsGive AwardShareSaveHideReport12

N r g

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What is the "E" in E = mc^2?

📷Posted byu/Bradley_Auerbach9,619 hours ago15 CommentsGive AwardShareSaveHideReport1

Definition of Battery

📷Posted byu/BinaryOrbitals0,323 hours ago2 CommentsGive AwardShareSaveHideReport2

Anyone heard of Everybody Edits?

📷Posted byu/iliekcats-6,101 day ago3 CommentsShareEdit PostSaveHide29

Anyone else like this year has sucked all their energy out?

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What you should know about drinking water (but probably don't)

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Wet

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Genesis

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Who Likes Kraftwerk?

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New here

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My Cat Franki

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As a result of online school, I've finally had time to pursue my passion for game development and my first game is coming to Steam! RoboSkate is a silly yet difficult physics based game, where you master the controls of a robotic arm attached to a skateboard and overcome a challenging journey.

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So uh, can we try and find the next banned word as soon as possible?

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Copypasta

📷Posted byu/absol201919,87 days ago1 CommentGive AwardShareSaveHideReport17

We had a shorter week, because Tuesday was the new day, but people definitely found the word

📷Posted byu/JamesMBuddy123Ban Machine Overlord 7 days ago8 CommentsGive AwardShareSaveHideReport1

*NEW NEW* Meta discussion thread

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Auto mod from copypasta’s copypasta

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The Croods 2 has taken over my life, and I love it.

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Get Out of My Swamp!

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Because

📷Posted byu/t0ast3rl0v3r561,214 days ago6 CommentsGive AwardShareSaveHideReport11

Yo

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Salmon

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Y’all don’t know what word is banned?

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submitted by iliekcats- to OneWordBan [link] [comments]

Endless suggestions that cause chaos?? (that might seem troll) for this game and can't build it, but Starcraft 2 is too binary/mono gameplay triple CC triple Hatch most of the time.

Reuse Minecraft procedurally generated maps for RTS games. (Looks easy and feasible for me after 10 years of training.)

Would it be nice if you can destroy your own resource within war games?? (Fire to burn down crops but minerals are harder to destroy.)

Paying your SCV garbage wage and overwork them. (Maybe add random element?) -- Frostpunk

Killing civilians (kids optional, but politically incorrect)

Conqueror neutral cities and collect "taxes".

Neutral factions and cities/"Rise of Legends" Imagine "States" fighting while there are other neutral states.
https://en.wikipedia.org/wiki/Three_Kingdoms

Rise of Legends also increases unit price by a little if you build too much of the same unit.

Diplomacy/backstabbing type games are seriously lacking in Starcraft 2.
https://en.wikipedia.org/wiki/Diplomacy_(game))

SIMS mode (EA games ruined it), where you get to play The Day In The Life of a soldier, go to "college", or even learn Cisco CCNA within the game. (Sounds troll.)
https://learningnetwork.cisco.com/s/binary-game
https://forces.ca/en/paid-education/

Have options like "Green Energy Fuel" research to defeat enemy through attrition instead of the current Starcraft 1-1 "outstat and you just die".

Sun Tzu art of war for strategies currently not implementable in Starcraft 2?

Should this game build on pre-existing open source RTS games like 0 A.D. to avoid reinventing the wheel??

Meanwhile: I quit /IronHarvest after 4 hours of gameplay because the characters shout every time and it doesn't feel right. A soldier doesn't shout because chances are they are exhausted from war!! Also the delay before the soldier moves is driving me crazy.

Also watch nobody plays Frost Giant because it is 200 Gigabytes because developers implemented my suggestions!!
submitted by Kick_Minimum to FrostGiant [link] [comments]

My opinion on a Mass Effect Andromeda sequel

I know that Bioware has flat out dropped the andromeda plot for now, but I'm replaying the entire series and would like to voice some opinions.
First off, I wanna say that if bioware Montreal had been given the time and resources to complete the game and its story, andromeda would have worked. EA has a history of rushing devs to pump out half finished trash coughdeadspace3cough, and to punish a new team for something they brought upon themselves is so stupid.
Now, the biggest gripe about andromeda for me was the bland and lackluster plot. Like come on, another race hell bent on assimilation? If they made the scourge sentient it would make a hell of a lot better villain than the archon. On the topic of the archon, why the hell did they not even try to give him a backstory? We know nothing about him other than that he wanted the remnant to assimilate the entire cluster. So if there were to be a sequel, it would either need to rework the Kett(a tall task), or ditch them and find a better villain.
Next, I feel that they really messed up by taking away player choice in conversations. Sure, they give you more options, but they all have the exact same effect. The paragon/renegade system may have been outdated, but it worked really well. If a sequel does happen, they could still do away with the binary choices of the OT, but have the dialogue choices carry actual weight in the story.
The open worlds mechanic was really cool, so they should keep that, but maybe do something like the fallout 4 basebuilding mechanic, instead of those bland cookie cutter ass colonies.
Thats all I can think of for now, but if anyone's got more ideas I'd like to hear them.
submitted by dmck1010 to masseffect [link] [comments]

[Support] ArmoryCrate Privacy Concerns - Unexplained Disk access.

Note - if there is a way to control system performance (CPU Freq,etc) without using AC that'd be grand.
Model is Tuf Gaming FX505DT. AC is up to date, freshly reinstalled to make sure this was a pure version of the software.
I have been troubleshooting some performance issues on m y NAS. In chrome, I had (when they system was installed) been storing all my downloads on a mapped drive to the nas. I changed that a while ago. Today I used Wireshark to resume troubleshooting and noticed constant traffic to the NAS, iterating through files in that directory. Looking in Procmon64, i notice that the action is coming from ArmoryCrate.
Looking through the app, i unchecked the "Auto Scan games" option, and I don't see others. I can't think of any good reason why this app should be digging through my downloads folder - constantly.
Until now, i've been reasonably happy with this laptop. After my last two Asus models I was very, very hesitant to buy a new one - both previous ones had serious flaws (mainly in how the power input jack was extremely flimsy).. But if Armory Crate is just spyware no matter how benign, That'll be the end of me ever trusting ASUS again.
App version is 3.0.4.0
I told it to save a log, but its in binary, unsure what it's supposed to be read in. Pulling it up in a hex editor gave no clues, and a quick google search didn't help.
I've removed all the files from that directory now.
Edit:
the executable reading the files is:
C:\Program Files\ASUS\ARMOURY CRATE Service\ArmouryCrate.UserSessionHelper.exe
and it has some creepy dlls like:
AsEncryptHelper.dll Asustek computer inc 3.0.1.0 5/9/20 vir18 10:43:01 AM
Program stack includes
14 AC_FDSPlugin.dll QueryLibrary + 0x6e83 0x7ffecd64d0e3 C:\Program Files\ASUS\ARMOURY CRATE Service\AC_FDSPlugin\AC_FDSPlugin.dll
There's also httputility.dll and a virutaldriveplugin.dll.. what is this app doing?
The one hit i get for that file is something in russian from a EA gaming support group.
Again, this is a fresh install of armorycrate.. ran the usual malware scans as well.

submitted by orbitn to ASUS [link] [comments]

A comparison of 7 visual story apps: Choices, Arcana, Lovestruck, Chapters, Romance Club, Journeys, and Storyscape!

This is an update to my previous post comparing visual story apps, but comparing three more apps! Romance Club, Journeys, and of course Storyscape.
These seven games are:
Since all of these apps have different names for the same things, I tried to standardize the terminology...
Choices: Stories You Play The Arcana: A Mystic Romance Lovestruck: Choose Your Romance Chapters: Interactive Stories Romance Club: Stories I Play Journeys: Interactive Series Storyscape
Release Date (App Store) 8/17/2016 10/22/2016 3/1/2017 10/27/2017 3/7/2018 8/22/2019 10/22/2019
App Store Age Rating 12+ 12+ 17+ 17+ 12+ 17+ 17+
Passes are Called Keys Keys Tickets Tickets Tea Tickets Tickets
Maximum Number of Passes 2 3 2 2 2 2 2
Pass Regeneration Rate 3 hours 4 hours 2.5 hours 2 hours 2 hours 2 hours 2.5 hours
Gems are Called Diamonds Coins Hearts Diamonds Diamonds Diamonds Diamonds
MC Visual Customization? Yes No No Yes Yes Yes Yes
MC Gender Majority female (several stories have male options) Male/Female/Non-binary Female-only Almost all female (1 male-only story) Female-only Female-only Almost all female
LI Gender Majority male (all but 1 story have at least 1 female LI) 3 Male, 2 female, 1 non-binary Male/Female (new releases are 50/50, 2 non-binary) Almost all male (2 female LI stories) Male/Female Male/Female Male/Female
Character Animations? No No No No No Yes Yes
Watch Ads to Earn Gems? Yes Yes (beta) No Yes Yes Yes Yes
Play Games to Earn Gems? No Yes No No No No No
Check-in Daily to Earn Gems? Yes Yes Yes* (daily puzzle piece) Yes Yes No No
Play Chapters to Earn Gems? Yes No Yes* (Romantic Quests) No Yes Yes Yes
Rate Chapters to Earn Gems? No No No No No Yes Yes
Number of Unique Series 35+ 1 (6 books) 14+ 100+ 7 12+ 4+
Series Types Both continuing series and stand-alones 1 continuing series Almost all continuing series (several stand-alones) Almost all stand-alones (two continuing series) Both continuing series and stand-alones Both continuing series and stand-alones Both continuing series and stand-alones
Average Chapters in Book ~15-18 22 (full) 12 (19 for earlier books) ~18-20 10 ~15 ~10-17
Average Choices per Book ~10-15 ~7-15 ~3-6 ~7-15 ~15-19 ~4-7 ~10-15
Can You Collect CGs? No* (they exist, but you can't collect them in one place) Yes Yes Yes (character cards) No No No* (they exist, but you can't collect them in one place)
Do Choices Affect the Story? Yes Yes (upright/reversed endings) No* (some older books have thrilling/passionate endings) No Yes Yes Yes
Are Series in Same Universe? Yes Yes Yes No No No No
Parent Company in: Korea (US Subsidiary) USA Japan (US Subsidiary) China (US Subsidiary) Moldova Argentina (?) USA

MC Customization

LI Choices

Earning Passes/Gems

Gameplay

Interface

History & Background

Demographics

Here's a chart by gendesexual orientation for which game gives you the most options / fits a particular demographic best in my opinion:
Gender x Male LIs x Female LIs x Non-binary LIs
Female All apps but esp. Chapters Lovestruck, Choices, Storyscape Lovestruck
Male Choices, Arcana Choices Arcana
Non-binary Arcana Arcana Arcana

Similarities

Here's how I would group the games according to similarity.
As a last word, it's kinda cool that for Choices, Storyscape, and Romance Club their developers have all been on and done stuff with their Reddit communities. Romance Club even has a link to the subreddit in the app! The other apps are slacking on this.
Agree, disagree? Tell me!
submitted by kori_no_ryu to Choices [link] [comments]

A comparison of four visual story apps: Choices, Arcana, Lovestruck and Chapters

I decided to write up a chart comparing four of the visual story games I've played and how they compare in some respects. Not going to try and judge the writing quality of the games, while Chapters is obviously the least-quality on this metric I'll leave it to everyone to decide quality among the other three. I'm not trying to rank any one as better than the other! I think it should be pretty evident from my comparison that all of them have strengths and weaknesses.
There are a couple more games coming out (Storyscape is probably the most anticipated one) but they're still changing things so I didn't include them. I also didn't include Episode because I honestly have no clue which stories are featured / written by their team and I know most people don't play the "official" stories anyway, so it's kinda pointless to compare.
These four games are:
Since all of these apps have different names for the same things, I tried to standardize the terminology...
Choices: Stories You Play The Arcana: A Mystic Romance Lovestruck: Choose Your Romance Chapters: Interactive Stories
Release Date (App Store) 8/17/2016 10/22/2016 3/1/2017 10/27/2017
App Store Age Rating 12+ 12+ 17+ 17+
Passes are Called Keys Keys Tickets Tickets
Maximum Number of Passes 2 3 2 2
Pass Regeneration Rate 3 hours 4 hours 2.5 hours 2 hours
Gems are Called Diamonds Coins Hearts Diamonds
MC Visual Customization? Yes No No Yes
MC Gender Majority female (several stories have male options) Male/Female/Non-binary Female-only Almost all female (1 male-only story)
LI Gender Majority male (all but 1 story have at least 1 female LI) 3 Male, 2 female, 1 non-binary Male/Female (new releases are 50/50, 2 non-binary) Almost all male (2 female LI stories)
Watch Ads to Earn Gems? Yes Yes (beta) No Yes
Play Games to Earn Gems? No Yes No No
Check-in Daily to Earn Gems? Yes Yes Yes* (daily puzzle piece) Yes
Play Chapters to Earn Gems? Yes No Yes* (Romantic Quests) No
Number of Unique Series 35+ 1 (6 books) 14 100+
Series Types Both continuing series and stand-alones 1 continuing series Almost all continuing series (several stand-alones) Almost all stand-alones (two continuing series)
Average Chapters in Book ~15-18 22 (full) 12 (19 for earlier books) ~18-20
Average Choices per Book ~10-15 ~7-15 ~3-6 ~7-15
Can You Collect CGs? No* (they exist, but you can't collect them in one place) Yes Yes No
Do Choices Affect the Story? Yes Yes (upright/reversed endings) No* (some older books have thrilling/passionate endings) No
Are Series in Same Universe? Yes Yes Yes No

MC/LI Choices

Earning Passes/Gems

Gameplay

Stories & Genres

Genre Choices Lovestruck Chapters
Action The Heist: Romance, Most Wanted Gangsters in Love, Villainous Nights Bad Boy Blues
Fantasy The Crown & The Flame, The Elementalists Love & Legends, Reigning Passions Robin Hood
Historical A Courtesan of Rome, Desire & Decorum Speakeasy Tonight 50 Ways to Ruin a Rake
Horror It Lives Series N/A N/A
Mystery Veil of Secrets Castaway Dirty Little Secrets, Uninvited
Paranormal Bloodbound, Nightbound Havenfall is for Lovers Lux, Love at Stake
Science Fiction Across the Void Starship Promise Court of Nightfall, The Wandering Earth

History

Demographics

Here's a chart by gendesexual orientation for which game gives you the most options / fits a particular demographic best in my opinion:
Gender x Male LIs x Female LIs x Non-binary LIs
Female All apps but esp. Chapters Lovestruck, Choices Lovestruck
Male Choices, Arcana Choices Arcana
Non-binary Arcana Arcana Arcana
Let me know what you guys think, and if you can add another app to compare let me know too...
submitted by kori_no_ryu to Choices [link] [comments]

[GUIDE] Name changing trick

Before I begin I wanna say sorry for the huge wall of text.
Also, instead of making a TL;DR, I've simply made a list of things you should read/skim over to get the gist of it:
  1. Introduction.
  2. Basic codes.
  3. Fade/opacity codes.
  4. "Special" codes.
  5. Codes that allow profanity.
  6. Combining codes.
  7. Final words.
  8. nsFAQ.


Introduction:

Hello Blazing players, today I will talk about something that quite a few of you might already be a little familiar with, the name change trick.

You might've played PvP and matched against someone with and underline in thier name, or thier name is written in italics.
Well today I've done some (in my own opinion) extensive testing with the name changer and it's codes.

  1. Go into the game settings and press on "Change Name".
  2. Type in a name you like with 5, 4, 3 or less characters, depending on the code you want to use (this is because of the 8 character limit in your name).
  3. After typing your prefered name, select a place in your name where you would like the effect to start from.

  1. Select any mission you can play in multipler, and press on "Gather friends".
  2. When you're in the pre-lobby, press on "Room settings" in the top left, and then press on the lowest text input field.
  3. Type your message.

In this example I'll use the names "Obito", "Neji" and "Lee" for the 5, 4 and 3 letter names respectively.
How this works is that you use what is called "BB code" codes to give effects to your name.
I will split these tables outlining the codes into sections;
  1. Basic codes (5 or less characters in name).
  2. Fade/opacity codes (4 or less chacaters in name).
  3. "Special" codes (3 or less characters in name).
  4. Weird codes (Varies in lenght, but the shortest one is 1 character, so 5 or less character name).
  5. Codes that allows profanity (Codes we already talked about, but how they can be used).
  6. Combining codes (Varies in length, but the shotest only allows you to have 2 or less characters in your name).
  7. Fun names you can use if you want to (the names obviously uses the codes I've mentioned here).
  8. Full list of fade/opacity codes - because english isn't my first language I don't believe in my own ability to get information across.
  9. Imgur albums with examples of all the mentioned codes.
  10. Final words.
  11. nsFAQ (edited in after posting).

1. Basic codes:

The first table is the basic codes, i.e the codes that are the most well known in the community, and consist of only 1 letter in the code.
You will need 5 or less characters in your name.

Name Code Usage Result
Bold [b] [b]Obito Obito
Italics [i] [i]Obito Obito
Underline [u] [u]Obito See Imgur album
Strikethrough [s] [s]Obito Obito

These are the codes/names you've most likely run into at some point playing the game since they are the most common and well known codes.
On a sidenote, I wanna mention that when you're on your homwscreen, then the code will be visible in your name (this goes for all codes), but don't worry, because in PvP and such it will still look differentand without the code looking horrible in your name.

Imgur album with examples: Album


2. Fade/opacity codes:

IMPORTANT EDIT at the bottom of the section!
The second table is the fade codes, i.e the codes that make your name "fade", or as normal people would say, it makes your name's opacity lower than original (transparent).
You need 4 or less characters in your name.

Now, these codes are a little special.
Have you ever been up against someone in PvP with an opaque name, and it turns out the have [69] in thier name?
Well, the 69 code is just a tiny part in the section that is opacity codes.
Let's get into the table first, and I'll then explain further afterwards.
The table doesn't have a "Result" column since Reddit doesn't have a feature for text opacity.

Name Code Usage
Regular 1-9 opacity [01-09] [05]Neji
Regular 10-99 opacity [10-99] [55]Neji
Fancy a-f opacity [ax-fx] [af]Neji

These are the name opacity codes.
The opacity codes work in such a way that the higher the number, the less opacity, meaning that a name with [90] will be less transparent compared to a name with [10].
A sidenote to the statement made above, is that the code [01-05] makes your name pretty much completely invisible, and [05]-[08] makes it almost unreadable.
Don't think you can use this to cheat, people will be able to see your full name and will be able to report after a match is done in PvP.
The two "regular" opacity codes are conected, it's just that you just put a [1] and it'll work, no, you have to put a zero (0) in front of single character numbers, which is the reason why I separeted them in the table above.

The "fancy" opacity codes is a little special in that it's basically an alphabet, but with everything beyond "f" removed, but also because they are the ones that adds the least total ammount of transaprency to your name.
Let me explain; we all know the alphabet, and we all know that "g" comes after "f", however not in this case., so basically just go up to "f" and then go to the next letter.
So a little quick list would be that you start with the code [aa], and then the next one is [ab], then [ac] and so on, until you get [af], after that you move on to [ba], then [bb] and so on. This means that the last code here will be [ff].
I will add a full list at the bottom of the post in case you still don't understand.

Imgur album with examples: Album

EDIT:
Due to the findings of user iramd24, I have done a little more testing, and can now confirm his statement:
"Since the opacity code goes from 01 to ff Im pretty sure It is hexadecimal instead of numeric and alphabetic so you could probably use the codes [b8] or [4e] for example I can't test It right now but following that logic it should work"
This means that they aren't split into numeric and alphabetic sections, but rather everything is linked.
I can confirm that he is indeed right (Full code table at the bottom has also been updated):

(Codes go from 0 to 9, and then it goes from A to F, meaning that one section is 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 0a, 0b, 0c, 0d, 0e and 0f, after that we start over, but add a 1 where the 0 was, so it would be 10, 11, 12... all the way up till 1a, 1b, 1c... which is repeated for each section, for the alphabetic codes you simply do the same; a0, a1, a2... all the up to f0, f1, f2...).
Hopefully this is understandable, but look under the section "Hexadecimal (base 16)" on this website for reference.



3. "Special" codes:

The third table is the "special" codes, i.e the codes that can give your name a "to the power of 2" aesthetic.
You will need 3 or less characters in your name.

Name Code Usage Result
Subscript [sub] L[sub]ee See Imgur album
Superscript [sup] L[sup]ee Lee

Now, there's not too much to say about these, they're just pretty cool to have, and they also looks the nicest when having a 3 letter profanity word in my opnition.

Imgur album with examples: Album


4. "Weird" codes:

The fourth table is the weird codes, i.e codes that's doesn't seem to do anything, but still works (or codes that just can't do anything due to the way the name changing and name displaying is set up).
At the time of writing this I've only found one, which is a one character code, however I'll update the table if I find or are made aware of any more.

Name Code Usage Result
??? (Seems to labeled as "code snippet") [c] [c]Obito ???

The first one I've found seems to labeled as a code snippet on this website, which then makes sense as to why it doesn't work.

Imgur album with examples: Album


5. Codes that allows profanity:

The fifth section is the profanity allowence codes, i.e codes that allows players to have banned words in thier name.
I'm gonna use something mild in this section.
This section feels sort of unnecessary in my own opinion, but hey, it's kinda funny to have your name as "Ass", right?

Well instead of having a table outlining how to do it exactly, I'll just tell you that you should just put the code in the middle of the banned word and then you can use it, along with a few examples.
Let's use "Ass" as an example once again.

Name Code Usage Result
The fancy ass [i] A[i]ss Ass
Subscript Ass [sub] A[sub]ss See Imgur album
Superscript Ass [sup] A[sup]ss Ass

I still don't know why "yeet" is a banned word :/

Imgur album with examples: Album


6. Combining codes:

The sixth section is the combining of codes, i.e codes that you can combine to make a name look nice with 2 effects.
Like with section 5 above, I'm not gonna outline everything since there is an endless amount of possibilities for you to combine codes and make a nice name.
In this section I'll use "xD" as an example, because I'm cringe like that.
And I'll just use "D" in the last example.

Name Code Uasge Result
Bold + Italics [b] + [i] [b][i]xD xD
[u]Underline[/u] + Italics [u] + [i] [u][i]xD See Imgur album
Transparent + strikethrough [s] + [69] [s][69]D D (image the text being transparent a bit too)

You can combine any 2 previously mentioned codes to make a nice looking name, altough the only real viable option is to use two of the single character codes, because then you can get a 2 character name.

Imgur album with examples: Album


7. Fun names you can use:

Now what is a guide about names without a section of free to use names? Well it's still a guide, but it's lacking that last section, like a frozen pizza is missing that jazz.
This is a list of names I made (only 2 at the time of writing this) that you can use freely if you want to.

Name Code used Usage Result
Hidden Rain village rouge ninja headband [s] [s] Try it yourself!
Triangle [u] [u]/\ Try it yourself!

Don't judge, I'm not the most well versed guy in what other people like and find "cool", so, yeah.


8. Full list of fade/opacity codes:

Please note that the table to supposed to be read from the left most column, all the way down, and then move one column to the right and repeat.
EDIT:
This table has been updated due to new information being found by user iramd24, to now include all the Hexadecimal values you can use (it was quicker to write that it looks, I promise).
This table takes the values from this website, look under the section "Hexadecimal (base 16)" for reference.
Section 0 codes Section 1 codes Section 2 codes Section 3 codes Section 4 codes Section 5 codes Section 6 codes Section 7 codes
[00] [10] [20] [30] [40] [50] [60] [70]
[01] [11] [21] [31] [41] [51] [61] [71]
[02] [12] [22] [32] [42] [52] [62] [72]
[03] [13] [23] [33] [43] [53] [63] [73]
[04] [14] [24] [34] [44] [54] [64] [74]
[05] [15] [25] [35] [45] [55] [65] [75]
[06] [16] [26] [36] [46] [56] [66] [76]
[07] [17] [27] [37] [47] [57] [67] [77]
[08] [18] [28] [38] [48] [58] [68] [78]
[09] [19] [29] [39] [49] [59] [69] [79]
[0a] [1a] [2a] [3a] [4a] [5a] [6a] [7a]
[0b] [1b] [2b] [3b] [4b] [5b] [6b] [7b]
[0c] [1c] [2c] [3c] [4c] [5c] [6c] [7c]
[0d] [1d] [2d] [3d] [4d] [5d] [6d] [7d]
[0e] [1e] [2e] [3e] [4e] [5e] [6e] [7e]
[0f] [1f] [2f] [3f] [4f] [5f] [6f] [7f]

Section 8 codes Section 9 codes Section a codes Section b codes Section c codes Section d codes Section e codes Section f codes
[80] [90] [a0] [b0] [c0] [d0] [e0] [f0]
[81] [91] [a1] [b1] [c1] [d1] [e1] [f1]
[82] [92] [a2] [b2] [c2] [d2] [e2] [f2]
[83] [93] [a3] [b3] [c3] [d3] [e3] [f3]
[84] [94] [a4] [b4] [c4] [d4] [e4] [f4]
[85] [95] [a5] [b5] [c5] [d5] [e5] [f5]
[86] [96] [a6] [b6] [c6] [d6] [e6] [f6]
[87] [97] [a7] [b7] [c7] [d7] [e7] [f7]
[88] [98] [a8] [b8] [c8] [d8] [e8] [f8]
[89] [99] [a9] [b9] [c9] [d9] [e9] [f9]
[8a] [9a] [aa] [ba] [ca] [da] [ea] [fa]
[8b] [9b] [ab] [bb] [cb] [db] [eb] [fb]
[8c] [9c] [ac] [bc] [cc] [dc] [ec] [fc]
[8d] [9d] [ad] [bd] [cd] [dd] [ed] [fd]
[8e] [9e] [ae] [be] [ce] [de] [ee] [fe]
[8f] [9f] [af] [bf] [cf] [df] [ef] [ff]
Well hopefully these tables helped someone, else I just wasted my time writing them for no reason.


9. Imgur albums with examples:

I have made a few Imgur albums dedicated to the different sections to give users an idea of how the different names look with the codes.
All the albums will have a neutral name without any codes on to show the difference.

Section 1 - Basic codes Section 2 - Fade/opacity codes Section 3 - "Special" codes Section 4 - "Weird" codes Section 5 - Codes that allows profanity Section 6 - Combining codes
Album Album Album Album Album Album

The table here was mainly to have the albums in one convenient place.
There is also a link to the albums in each section respectively.


10. Final words:

Thank you so much for reading! I dedicated a bunch of time to making this, especially since my brwser crashed halfway through writting it the first time around because my dumbass installed some sketchy software and it ate all my ram, which caused all my work to go to waste.

I will end the post here by saying; if you have anything to add, let me know and I'll add it to the post and give you the proper credits!
I'm always looking to expand, so if you know a code I don't know of, shoot it at me.
I'm really damn tired right now, so I'll hop off and answer comments and such tomorrow (if anyone decides to comment aha).
Also, please ignore any misspellings, English isn't my native language and I'm pretty self aware about my spelling, which causes me to misspell even more.

Also, rip mobile users, this post is pretty much a hell to read for you.
I'm sorry.

11. nsFAQ (not so Frequently Asked Questions):

In this section I will outline a few things that I have either figured out after posting, or things I simply forgot to add (both of which I don't know where exactly to put).

Q: Can I use this anywhere else besides my name?
A: Yes you can! Anywhere in the game where you have the ability to input text you can do it! Meaning you can really outline your message in multiplayer rooms by combining a few of the codes above (I can't remember if you have the ability to write text anywhere else, but I suppose that if you can, these codes will work).
I personally rock a message that looks like this: [b][i][u]ONLY 99LUCK. (In-game: "ONLY 99LUCK" with an underline).
In the multiplayer rooms you have a bit more freedom, since there is a 20 character limit instead of the tiny 8 when choosing a name.

Q: Will I be banned for using these?
A: No, this is Hexadecimal and BB codes which simply changes your name/text apperence, there's no reason for Bandai to ban players having a name with a code in it.
I even know someone that found one of the opacity codes by accident, and has been rocking with it for almost 3 years now.

This is all I have for now, but I will add more as I'm made aware of new things, or remember new stuff.


Edits:

EDIT: Just posted this. Apparently some of the results doesn't work proberly, so I've refered to the Imgur album instead to look at it.

EDIT2: Just realized the "fun names" results doesn't work. I've listed it as "try it yourself!".

EDIT3: Fixed a misspelling.

EDIT4: Added a bad TL;DR outlining what you should read/skim over to get the gist over everything.
Added a "rip/sorry mobile users" message in Section 10 - Final words.
Edited name of Section 8 to better reflect findings by user below.
Added the findings of iramd24 under "Section 2 - Fade/Opacity codes" and "Section 8 - (Thanks man!).
Added a "nsFAQ" (not so Frequently Asked Questions) outlining a few datails I overlooked when writing and don't know where else to put.
submitted by Lyn_The_2nd to NarutoBlazing [link] [comments]

A comparison of four visual story apps: Choices, Arcana, Lovestruck and Chapters

I decided to write up a chart comparing four of the visual story games I've played and how they compare in some respects. Not going to try and judge the writing quality of the games, while Chapters is obviously the least-quality on this metric I'll leave it to everyone to decide quality among the other three. I'm not trying to rank any one as better than the other! I think it should be pretty evident from my comparison that all of them have strengths and weaknesses.
There are a couple more games coming out (Storyscape is probably the most anticipated one) but they're still changing things so I didn't include them. I also didn't include Episode because I honestly have no clue which stories are featured / written by their team and I know most people don't play the "official" stories anyway, so it's kinda pointless to compare.
These four games are:
Since all of these apps have different names for the same things, I tried to standardize the terminology...
Choices: Stories You Play The Arcana: A Mystic Romance Lovestruck: Choose Your Romance Chapters: Interactive Stories
Release Date (App Store) 8/17/2016 10/22/2016 3/1/2017 10/27/2017
App Store Age Rating 12+ 12+ 17+ 17+
Passes are Called Keys Keys Tickets Tickets
Maximum Number of Passes 2 3 2 2
Pass Regeneration Rate 3 hours 4 hours 2.5 hours 2 hours
Gems are Called Diamonds Coins Hearts Diamonds
MC Visual Customization? Yes No No Yes
MC Gender Majority female (several stories have male options) Male/Female/Non-binary Female-only Almost all female (1 male-only story)
LI Gender Majority male (all but 1 story have at least 1 female LI) 3 Male, 2 female, 1 non-binary Male/Female (new releases are 50/50, 2 non-binary) Almost all male (2 female LI stories)
Watch Ads to Earn Gems? Yes Yes (beta) No Yes
Play Games to Earn Gems? No Yes No No
Check-in Daily to Earn Gems? Yes Yes Yes* (daily puzzle piece) Yes
Play Chapters to Earn Gems? Yes No Yes* (Romantic Quests) No
Number of Unique Series 35+ 1 (6 books) 14 100+
Series Types Both continuing series and stand-alones 1 continuing series Almost all continuing series (several stand-alones) Almost all stand-alones (two continuing series)
Average Chapters in Book ~15-18 22 (full) 12 (19 for earlier books) ~18-20
Average Choices per Book ~10-15 ~7-15 ~3-6 ~7-15
Can You Collect CGs? No* (they exist, but you can't collect them in one place) Yes Yes No
Do Choices Affect the Story? Yes Yes (upright/reversed endings) No* (some older books have thrilling/passionate endings) No
Are Series in Same Universe? Yes Yes Yes No

MC/LI Choices

Earning Passes/Gems

Gameplay

Stories & Genres

Genre Choices Lovestruck Chapters
Action The Heist: Romance, Most Wanted Gangsters in Love, Villainous Nights Bad Boy Blues
Fantasy The Crown & The Flame, The Elementalists Love & Legends, Reigning Passions Robin Hood
Historical A Courtesan of Rome, Desire & Decorum Speakeasy Tonight 50 Ways to Ruin a Rake
Horror It Lives Series N/A N/A
Mystery Veil of Secrets Castaway Dirty Little Secrets, Uninvited
Paranormal Bloodbound, Nightbound Havenfall is for Lovers Lux, Love at Stake
Science Fiction Across the Void Starship Promise Court of Nightfall, The Wandering Earth

History

Demographics

Here's a chart by gendesexual orientation for which game gives you the most options / fits a particular demographic best in my opinion:
Gender x Male LIs x Female LIs x Non-binary LIs
Female All apps but esp. Chapters Lovestruck, Choices Lovestruck
Male Choices, Arcana Choices Arcana
Non-binary Arcana Arcana Arcana
Let me know what you guys think, and if you can add another app to compare let me know too...
submitted by kori_no_ryu to Lovestruck [link] [comments]

Aatrox talks as Korea's former challenger

http://www.op.gg/summoneuserName=%EB%8B%AD%EB%8C%80%EA%B0%80%EB%A6%AC%20%EB%A9%94%EC%9D%B4%EC%A7%80
Hello? I am an Aatrox user in Korea. That link above is my id.
I'm not good at English, but I came here to express my dirty feeling while using the Google Translator.
Besides, I do not know if this site is appropriate for me to talk about.
And I do not even know if Riot Officials will see my post.
Since the performance of the translator is not perfect, please understand that it is awkward.
When the Aatrox change came out, I was desperate and angry. But I soon realized that Aatrox is changing. I knew Ryze's precedent.
'What does Riot want from Aatrox and Ryze? What are you trying to make! '
I could not understand. So I gave up.
But there was a case that made me angry again.
That's it.
http://www.surrenderat20.net/2018/06/618-pbe-update.html
Ctrl + c + ctrl + v for annoying people clicking on the link
---------------------
"Hey guys,
Been reading through all the feedback on the Aatrox VGU over the last week and I thought it would be good to pop in here and let you know of some art changes we will be making soon, plus give a little context behind some of the decisions on the rework.
Base Model Art Changes:
You should see some tweaks to the base model very soon on PBE. This will add a bit more detail to Aatrox and bring his colors a bit closer to previous Aatrox (Some darker reds will be added) Look out for these changes soon.
Aatrox's Wings:
The 2nd change will take a bit longer and should be added sometime within a patch or two after Aatrox hits live. We have seen a lot of players asking for Aatrox to have his wings always out, as well as feedback over the loss of Aatrox's "Banner Wings." We are going to explore some options to address both of these concerns. Currently we are using Aatroxs full wings for gameplay clarity around when he is in his ultimate state, as it is very important for players playing with or against Aatrox to know when he is in his ultimate state and therefor will resurrect when killed. As such we won't be able to give him the full open wings when not in his ult since it will greatly reduce the clarity you get from a big silhouette change. With that being said we are exploring some options that would give him smaller "banner-esque" wings when not in ultimate form. We are still in early exploration on these though so they won't make it in time for his release, but we will be adding them sometime soon after.
As for all of the design feedback I will pass it over to RiotJag for some context into the design decisions we made on Aatrox:
"So first off, the brutal truth: yes, his gameplay is dramatically different from current Aatrox, and yes, that's very intentional. We've said it a lot in the past - Aatrox's basic-attack centric drain tank play pattern does not offer enough tactical variance or counterplay. He's one of the most stat-checky fighters in the game, and when he's strong he doesn't offer a whole lot of options for opponents to fight against him. It’s very illustrative that in just a patch with no direct buffs, he moved from literally not being picked in a pro game for years to becoming arguably the highest priority top laner in the game. Aatrox is the epitome of a binary champion, and seeing him in competitive play has only reinforced the need to update his gameplay.
I’ve reviewed the many suggestions I’ve seen by the community (a huge list was posted here: https://www.reddit.com/AatroxMains/comments/8qshgo/raatroxmains_upvote_this_if_you_agree_on/).
There’s a few we’re thinking about heavily, and we’ve definitely had a lot of internal discussion about keeping his wings (that’s been a popular one). I’ve already made some of the changes the community asked for (increasing AS/lvl, for instance) and I’m considering some other ones; just keep in mind that we are changing his identity on purpose, and suggestions like “revert everything” aren’t adding a whole lot to the discussion.
The second part is the feeling that we don't care about our community or how players feel about our roster. I understand why Aatrox mains feel this way, so let me be frank - even though we're trying to do our best for the entire League playerbase, we know that means that yes, we are changing something that you have grown to love and are attached to. But that's doesn’t mean we don’t care about what players want; in fact, it’s precisely what motivates us.
Live Aatrox has had some of the lowest play rates despite having a very healthy win rate for literally years. Players express their preferences to us every day - with their choices. And their choice across the board has been that they don't want to play Aatrox, despite that they definitely can win games with him. Of course if you're reading this, you're probably one of the few players who put in the time to understand Aatrox's playstyle and master something few others wanted to. The problem is we don't believe marginal shifts in Aatrox's kit would be enough to make him a healthy character who more players are excited to play.
What we did know is that the idea of the badass Darkin conqueror could appeal to many players, and we didn't deliver on him - so we owed players more. Aatrox was always meant to be a battlefield terror, wielding his blade with ease, forcing opponents to flee like insects - a fighter so fearless that he could not even be stopped by death itself. This rework is meant to still be true to that fantasy, and I hope that current Aatrox mains could find something to grab onto there. But that knowledge won't make you feel any better about how drastically his gameplay is changing with this rework. Though I believe in our goals and that new Aatrox delivers on them, at the end of the day I honestly feel personally uncomfortable displacing you. I’m sorry for that."
RiotJag
Thank you for your passion for Aatrox and the time you've invested into him. Both me and RiotJag will be around for the next day or 2 to answer as many questions as we can. Thanks!"
-------------------------
lowest play rates = change Aatrox?
Crazy? Is that the only excuse?
i had lol 20000 game, I know very well what champ is like, Other people. (taste. not Performance.)
People follow fashion. Their taste comes out, Very few.
At the LOL Champions, They use the same things that pro gamers use.
It is good if others say it is good, bad if it is bad.
I am not saying that the fashion is bad. just ... Their taste comes out, Very few.
But ... what? lowest play rates despite = It is not attractive & It is not cool & They feel they do not want to?
Do you really think so? I can not understand the way of thinking.
Let's count the total play rates of Korean servers from behind. Ivern, Rek'Sai, Skarner, Aurelion Sol, Kalista, Corki, Azir, Elise, Syndra ... Ok! Let's top it all off! Change it!
Ah. It's fucked. it's annoying. I'm tired of talking more.
I love Aatrox. But ... If today 's Aatrox hurt the fun of the game, I can understand the change of Aatrox. Like the old Poppy, Shen.
But it is not. Not at all.
I am angry that i do not know much about American swear word.
submitted by Lawpcpi to leagueoflegends [link] [comments]

[OC] Building an NFL Draft Model using Machine Learning

Happy Sunday nfl. Like most of the users here, I get draft-obsessed every February when the Combine comes around. Well, this year I decided to do something about it by building a draft model. If you're not interested in the details, you can stop right here and click the links below.
 
Model outputs from validation can be viewed here: https://docs.google.com/spreadsheets/d/1-ooQ4UTafyFOTWDtbYGmPgdHfspY8bci45tUS6I5-LU/edit?usp=sharing
Album of select draft prospect profiles: https://imgur.com/a/SCdkLj1
I've created some simple player visual dashboards which present position-specific percentile rankings in performance and athleticism. Each of these refer to either neutralized statistics, or engineered features, so "Tackles" is more accurately "Neutralized Tackles per Game" and "Speed" is actually "Speed Score". If anyone has requests to see other players, let me know and I'll try to cover all of them.

Research Goal

To build an NFL draft model capable of producing meaningful player predictions. I had originally planned to do so using a fuzzy Random Forest trained on NFL Combine and Pro Day physical measurements, individual and team college statistics, and engineered features. The model produced superior results when treating physical measurements as crisp rather than fuzzy, which was surprising but nonetheless forced me to change my approach.
Random Forest model is appropriate for this dataset because of the relatively small number of observations (roughly 250-300 players per draft class) and the highly non-linear relationship between the input and output variables. Random Forests are fairly robust against overfitting, which is a concern when modelling noisy data.
Player performance is impacted by round and team selection in the draft - first-round selections receive more opportunities than seventh-round selections, different schemes fit some players better. Because of this the model performance can be greatly improved by including some regression to draft selection or, in the case of test data, public rankings.

Model Output

I've decided to take the novel approach of using player ratings from EA Sports' Madden video game franchise as a proxy for player production, skill, and value. This is beneficial for a number of reasons. The first is that these ratings provide continuous output on a consistent scale across both years and positions; a player rated 99 overall is considered to be elite at their position, regardless of the unique responsibilities or challenges in quantifying performance specific to that position. The second reason is that Madden ratings predate modern quantitative evaluative metrics like those provided by Football Outsiders or Pro Football Focus.
Madden ratings explained - https://fivethirtyeight.com/features/madden/#
Overall ratings are calculated using position-specific formulas that weight individual attributes like speed, strength, and tackling. Ratings are updated each year through a Bayesian-like process of weighing new information to update old. To aggregate ratings for each player, I use a 5-part mean which includes ratings in Years 1-4 and Peak rating.
NFL rookie contract length is 4 seasons (along with a fifth year club option for first-round picks), while the average career length in the NFL is less than 4 years. As such, when building a draft model is makes sense to only consider production accrued during the first 4 years of a player's career.
Year 1 represents the Madden rating given to each player following their rookie season. For this reason, the final year for which complete data is available is the 2014 draft class (with Madden 19 providing Year 4 ratings). This decision was made to better capture NFL success, as rookie player ratings are highly dependent on draft order. For example, in Madden 2008 rookie #1 overall pick JaMarcus Russell was awarded an overall rating of 82, just 1 point lower than #3 overall pick Joe Thomas. The next year, Russell's rating was 83, while Thomas was a 97 overall. By Madden 2010, Russell was given a rating of 72 overall, while Thomas maintained his 97 overall rating. Year 3 and Year 4 ratings have been given double weight for the same reason, with the added effect of lowering the ratings of players who were not able to stay in the league for at least 4 years.
While this metric on the whole does a good job of ranking player talent and production, it is blind to players who peaked later in their careers or those who had short careers. Notable examples of each include Eric Weddle (84.6 rating, eventual 2x All Pro, 6x Pro Bowl) and Jon Beason (95.4 rating, 1x All-Pro, 3x Pro Bowl). Weddle did not reach his peak until after re-signing with the Chargers as an unrestricted free agent prior to the 2011 season, and could have presumably reached his peak while playing for another team. Beason suffered an Achilles injury during the 2011 season and eventually lost his job with the Panthers, starting in only 26 games in the years following his rating window. Beason would have been eligible to sign as a free agent following the 2011 season had the Panthers not offered a contract extension.
In the NFL, the drafting team maintains the exclusive right to employ each player for 4 years following their selection, thus it is incumbent upon the team to select and develop players who provide the most value during that period. For that reason I stand by the decision to evaluate draft selections only on a player's first 4 years in the league.

Dataset

I wrote several web scraping programs to pull data from NFL Draft Scout (an excellent resource for Combine data, and the only source I'm aware of that includes Pro Day data), Pro-Football-Reference, and CFB Reference (both Sports-Reference-operated sites, easily the best sources for football statistics in the NFL or FBS).
The dataset covers the 2006-2014 draft classes and includes players who were ranked in NFL Draft Scout's top 300 in their draft year. I have removed all quarterbacks, kickers, punters, long snappers, and fullbacks due to the relatively small sample sizes or extreme specialization that each position requires. It might be valuable to evaluate these positions later – particularly quarterbacks – but for now the model focuses exclusively on 13 "skill" positions, bucketed into 7 position groups.
The dataset restrictions exclude some notable players ranked outside of the top 300, both drafted and undrafted, who went on to varying degrees of success in the NFL. At the top extreme are 4-time All Pro Antonio Brown and Super Bowl LIII MVP Julian Edelman. But while many players on this list never played a down in the NFL, it is important to be aware of which players are excluded and it may be worthwhile to expand the dataset in the future.
I have removed players from the dataset whose NFL careers were cut prematurely short either voluntarily or involuntarily (due to injury, not ability). These players' ratings (or lack thereof) are not representative of their production and thus only serve to complicate the dataset and confuse any modeling attempts. Examples include Aaron Hernandez, Gaines Adams, and Chris Borland. The list is as long as it is depressing.
There is also a subset of players who drastically changed position upon entering the league. This is contrary to less extreme position changes (tackle to guard, cornerback to safety), which occur frequently. These players have been removed because their college statistics create noisy data. Examples: Denard Robinson, Devin Hester, J.R. Sweezy.

College Statistics

College statistics have been collected and cleaned at the FBS level from Sports Reference. Using college statistics is important because they provide information on a player's in-game performance. However, college football styles vary greatly among teams and have changed over time. Therefore we must control for differences in pace and style of play when considering college numbers. Rather than attempt to fit a model on raw season total statistics, I've decided to use neutralized per game statistics under the following parameters:
 
 
To illustrate this point let's look at Calvin Johnson and Michael Crabtree, who were both highly productive college wide receivers selected early in the first round.
 
 
The two statlines appear very similar without context. It's easy to make this distinction empirically, but little effort has been made to translate college statistics into more informative data. Johnson and Crabtree put up similar overall numbers, but Crabtree did it in an air raid style offense that relied heavily on passing while Johnson played on a more balanced offense.
 
 
When we neutralize both players' statistics, we can better compare each player's level of production.
 
 
Compare those numbers to each player's NFL career statistics:
 
 
This is a cherry-picked example but it does well to show that while raw statistics are not to be trusted, college data when put into the proper context can be made more predictive. On a larger scale, we can compare RMSE of the model when including raw college statistics compared to pace- and schedule-neutralized statistics. Controlling for strength of schedule does not improve the predictiveness of the model, but controlling for pace and style of play does have a significant effect.
 
Neutralization RMSE
Raw per Game 8.065
Pace-Neutralized per Game 8.029
Pace- and Schedule-Neutralized per Game 8.058
 
Here's the full stat list, with a few notable performers:
 
Offensive Statistics
 
Defensive Statistics
 

NFL Combine and Pro Day Measurements

The final major inputs of the draft model are the physical measurements taken at the NFL Combine and university Pro Days. Pro Day measurements are harder to come by due to their decentralized and often scarcely reported nature. Fortunately, NFL Draft Scout has maintained a database of reported Pro Day measurements spanning the years in our dataset.
There is an enormous benefit in using Pro Day measurements in a model like this. It allows for a larger training set by including data on players who were not invited to the NFL Combine, but also provides much more complete data because not all players who attend the combine perform the full slate of workouts. This lessens the need for imputation and reduces uncertainty.
However, there is bias observed in Pro Day measurements. Pro Days are typically scheduled in the weeks following the NFL Combine, giving players more time to train for the specific physical events. Furthermore, they often take place at the players' home campuses in environments in which the players feel more comfortable. Lastly, many events (most notably the 40-yard dash) are hand-timed at Pro Days, leading to better reported times than the electronic times at the Combine. Each of these factors contributes to improvement in every event among the population of players who participated both at the NFL Combine and at their university Pro Day.
 
Players who participated in both NFL Combine and Pro Day
Measurement Combine Pro Day n Sigma Adjustment
40 Yard Dash 4.80 4.70 831 0.076 + 0.07
20 Yard Split 2.79 2.71 733 0.065 + 0.06
10 Yard Split 1.68 1.62 739 0.057 + 0.04
Bench Press 20.0 reps 21.7 reps 254 2.556 - 1.2
Vertical Jump 31.7" 33.6" 593 2.342 - 1.3"
Broad Jump 112.9" 115.2" 481 4.356 - 1.6"
20 Yard Shuttle 4.46 4.42 424 0.155 + 0.03
3 Cone Drill 7.34 7.22 342 0.223 + 0.08
 
In order to correct for this bias, I've (somewhat arbitrarily) chosen to shift recorded Pro Day measurements by 70% of the mean delta. Even when we correct for some of the systematic bias observed in Pro Day measurements, we must also recognize that most physical measurements aren't static. Some players aren't performing at maximum physical capacity on the day of the Combine, occasionally players injure themselves during their workout, and the measurements aren't always recorded with perfect accuracy or consistency.
A dataset with this much uncertainty lends itself well to fuzzy set theory. In simple terms, this will allow us to consider not only a player's recorded 40 yard time of 4.40, but will also consider some probability that their "true" speed is 4.39 or 4.43. So when the model attempts to predict NFL success given a player's 40 yard dash time, it's not based on a singular number but rather a distribution of times centered around that number.
Fuzzy Set Theory explanation - https://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/sbaa/report.fuzzysets.html
My approach is to generate a random forest model on the discrete data, then fit n iterations on randomly shuffled data to generate a distribution of outcomes for each player. This "shuffling" will occur randomly for each measurement using a normal distribution centered around the discrete number, with sigma equal to half of the standard deviations recorded above.
In a single random forest, data is crisply split by decision trees based on discrete information. But with enough randomly shuffled iterations, the trees are no longer binary decisions but rather probabilistic ones centered on each measurement's distribution. This is particularly relevant for players who may have measurements near decision tree boundaries. Two players with sprint times separated by mere hundredths of a second are not appreciably different in speed, but a random forest might classify them as such. The purpose of shuffling is not to fundamentally change each player's physical characteristics, rather to acknowledge measurement uncertainty. My belief is that this will improve the model outputs over a large enough number of trials.
We have a wealth of NFL Combine and Pro Day data but not every player has participated in every drill, so we'll need to fill in missing values. Because many of these physical measurements are correlated and most football positions require some degree physical specialization (size, speed, etc.), I've chosen a k nearest neighbor imputation method. The belief is that if Players A and B are similar in terms of position, size, speed, and quickness, then the two players will also have similar strength or jumping ability. The exceptions are draft age and wingspan, which can be reasonably predicted using population means.

Engineered Features

Perhaps the most essential component of a machine learning model is feature engineering.
Modern feeling toward physical measurements taken at the Combine is highly dubious, and I agree that each measurement taken in isolation cannot alone adequately define athleticism, much less predict success. However, there exist more complex metrics which can better perform both tasks across a large enough sample.
 
Body Mass Index (BMI)
 
Speed Score
 
Height-Adjusted Speed Score
 
Vertical Jump Power
 
Broad Jump Power
 
Quickness Score
 
Weight-Adjusted Bench
 
Catch Radius
 
The models also include several features designed to summarize the collection of college statistics being used.
 
Offensive Usage
 
Defensive Disruption
 
S&P Market Share

Cross-Validation and Tuning

I've tuned the model using stratified k-fold cross validation, leaving out each draft class as OOB observations. As a result, every player has been included in both the training and validation sets. Each position group has been fit with its own unique hyperparameters to optimize predictions.
 
Hyperparameters by Position Group
Position Number of Trees Max Depth Max Features Min Leaf Samples
WR 100 5 10 3
FS 250 5 10 1
CB 50 10 20 2
SS 40 10 10 2
ILB 30 15 5 2
RB 40 10 10 1
TE 20 10 3 2
EDGE LB 50 5 10 2
EDGE DL 250 15 10 2
C 50 5 5 3
DT 100 3 10 1
OT 20 5 3 2
OG 20 10 5 2
 
Additionally, the model performed best when aggregating predictions from 3 randomized sets, as shown in the plot below. However, this fuzzy approach failed to outperform discrete features during cross-validation. I expected the opposite, but it seems treating each measurement as precise leads to the best fit.
 
RMSE Using Various Methods
Method RMSE
Discrete 8.027
1 Random set 8.122
2 Random sets 8.069
3 Random sets 8.063
5 Random sets 8.098
10 Random sets 8.115

Results and Further Research

By and large the model does surprisingly well considering the lack of more traditional evaluative inputs. NFL teams have the resources of scouting departments providing more detailed player evaluation, experienced coaching staffs evaluating personnel fits, and front offices to balance financial considerations and positional value. Each of these factor into draft decisions and improve ranking methods beyond the scope of this model.
 
Model results by position
Position RMSE n Most Important Features
WR 7.523 314 Underclassman, Usage, Age, Srimmage Yards, Total TD, Receiving Yards
FS 7.621 128 S&P Share, Age, SOS, 20-Yard Shuttle, Height, 40-Yard Dash
CB 7.604 292 Age, Quickness Score, Height-Adjusted Speed Score, S&P Share, Height, 20-Yard Dash
SS 7.437 107 Run Stuffs, BMI, Defensive Disruption, Quickness Score, Tackles, TFL
ILB 7.649 291 S&P Share, Age, Tackles, Height-Adjusted Speed Score, Vert Power
RB 8.121 194 Rush TD, Rush Yards, Age, Total TD, Scrimmage Yards, Height-Adjusted Speed Score
TE 8.097 139 Scrimmage Yards, Receiving TD, Receiving Yards, Offensive Usage, Hand Size
EDGE LB 8.846 90 S&P Share, Disruption, Catch Radius, Tackles, Weight, Age
EDGE DL 7.445 190 Age, TFL, Weight, Height-Adjusted Speed Score, Quickness Score, Underclassman
C 8.948 82 3-Cone, Weight, Broad Jump, Quickness Score, Hand Size, Age
DT 7.823 211 S&P Share, TFL, Tackles, Disruption, Run Stuffs, 3 Cone
OT 8.882 222 Age, Vert Power, Arm Length, Speed Score, Weight
OG 8.819 140 Adjusted Bench, 20-Yard Dash, Catch Radius, Quickness Score, Age, Weight
 
When properly optimized, the model can achieve RMSE below 8 during cross-validation. Unsurprisingly, it struggles most with offensive linemen, who lack individual statistics. In particular it struggles with centers, whose responsibilities in the NFL are as much mental as physical. Interestingly, NFL teams have had great success evaluating centers, as 4 of the 5 first rounders were named to All-Pro teams in their careers, and all made the Pro Bowl at some point.
As mentioned in the introduction, the model could be improved substantially by including draft selection or consensus rankings. Furthermore, team-specific random effects could likely explain some of the residuals. I may eventually explore these research questions, but my short-term priorities are on visualization and presentation of data.
 
If you've made it this far, check out my github for the source code: https://github.com/walt-king/NFL-draft-research
This was created using Python for web scraping, data collection, modelling, and visuals. I used R to create the player dashboards. Comments, thoughts, and feedback all greatly appreciated.
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BINARY EVO OPTION BOT FREE DOWNLOAD

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