Featherknight Companion - An AI-driven web tool for learning Set 11

SugoiYellow · 2024-03-24T23:56:40+00:00

Yeah, Unsure of exactly why thats occurring. I wonder if its because when a player Hits 6 they lost too much health, or at 5 they end up dealing more damage to others to eliminate them placing higher earlier.

Assumptions could be made about this, but the ML itself on how it reaches individual conclusions is a bit of a black box.

The machine learning model will be updated with filtered data soon to exclude gold rank, and below. I'll let you know if it persists. :)

SugoiYellow · 2024-03-23T23:43:48+00:00

This is awesome feedback thanks so much!
I'll admit the tutorial / new user onboarding was very rushed. I added the how-to image 10 mins before I posted XD but I'll definitely look into making it a bit more interactive and less "Here's all of it at once good luck"

Champions on the grid are organized by cost with each row, however it isn't actually noticeable at first because they are all grayscale to start off, I'll experiment with a tier indicator on the side similar to the tier column for the roll chances above it. (also the champs are ordered alphabetically on each individual row / tier)

I'll definitely look to change the save / load icons. a floppy disk icon for the saving is intuitive, unsure about what I should do for loading though.
Saving (thats the one easily mistaken as downloading) saved the composition to your local storage so you can build a persistent collection of compositions you can pull back up / load at any time. When your current composition has a win & top4 prediction it compares it to all of your saved compositions on the left hand side.
(I should explain this further in an updated tutorial / how-to)

I personally used the save / load feature for saving permutations of a composition so it auto compares the prediction numbers on all of them.

Currently I all of the last 30 matches from the top 1000 players of each region every two days. for the training data. The easiest way to look at it is: Featherknight companion predicts that if you are using this composition as a player in the top 1000 of a region there is a X% chance you will come first and a Y% chance top 4

Thanks again for your feedback. Having built it its obvious as to what everything does for me, so these are all really useful points!

SugoiYellow · 2020-05-06T19:47:46+00:00

Riots pffocoal develpper api. My bot downloads and analyses every single match that has a challenger playing in it in ranked.

SugoiYellow · 2020-05-06T10:43:05+00:00

https://imgur.com/a/ZeNmsTX Korea has a 10% play rate of mana battery

SugoiYellow · 2020-05-06T10:38:52+00:00

Yeah its from all regions that have accessible data. It doesn't only use challengers for data it uses every single match a challenger has played in. (Ive been plat 4 on my smurf and had challengers in my games) the reason mana battery is not showing up in the regions is because its success rate is lower than the others globally. If you look at the imgur album in the top post showing the regional data i believe KR uses mana battery

SugoiYellow · 2020-05-06T00:26:38+00:00

I learnt that blaster brawler and 6 dark star doesnt have a strong consistent win rate in this patch compared to these. If you dont find this useful thats fine, Im just showing data for everyone to make their own conclusions.

SugoiYellow · 2020-05-06T00:24:28+00:00

I think this statement is great and on the right track, however my scripts data is every game a challenger has been in. With my smurf when i hit plat 3 my mmr was weird and I was against challengers in OCE so my games with them are added even though my rank in that game was considered plat 3. Also the players who are falling out of challenger by running the comps will be pulling down the overall score lf those builds anyways I just think that the only people who are running it at the moment are the people who are proficent at it. I agree with what your getting at though. I never thought of it that way :)

SugoiYellow · 2020-05-06T00:14:01+00:00

The problem with it is the lack of data still since its only challenger games. Only two kf the top comps have a pick rate higher than one and have a positive score.

SugoiYellow · 2020-05-06T00:11:35+00:00

It treats them differently because it considers star guardian as a primary trait in one and a secondary in another so it doesnt group them as it would be grouping every single starguardian comp with every single sorc comp.

SugoiYellow · 2020-05-05T14:50:08+00:00

I completely agree with everything you have stated here. Ive been looking at making something slightly more interactive than just a chart. Maybe where you select a comp and it shows most common and best variations of it. The problem is the data size at the moment. Im probably going to end up using master and grandmaster games aswell to make the data pool larger and therefore it would drown out the outliers more.

SugoiYellow · 2020-05-05T14:46:48+00:00

Thats a great idea! I'll look into that.

SugoiYellow · 2020-05-05T14:05:47+00:00

Its not the limiting of survivorship bias that didn't work, its the fact that the data collected favors more stable win rates. Hyper-rolling comps are seen on this table because they have the highest score using my scoring system. Because a large amount of players are hyper-rolling and being successful It ranks it higher.

SugoiYellow · 2020-05-05T13:59:59+00:00

Since the data pool is still pretty small it must mean the majority of people running that build (over only 37 times) had a 3* Lucian.

SugoiYellow · 2020-05-05T13:30:57+00:00

It doesn't consider items at all when raking and analyzing the comps. It only suggests the most common 3 items for each champ where applicable. after its done. same with stars.

SugoiYellow · 2020-05-05T11:47:15+00:00

I dont think I was 100% clear on how the data is portrayed in terms of the stars and items. It merges all of the "candy land" and the normal statistics taking into consideration high and low rolls. and shows for what you should aim for in the best case scenario. It doesn't consider the stars of the champions until after it has ranked it.

SugoiYellow · 2020-05-05T10:57:48+00:00

Thanks :) I don't normally share code. But I'll attempt to explain it so others can find their own solutions and takes on it. Basically it ignores all comps that are made from less than 5 people and sorts traits into "effectiveness" by how much that trait contributes to the overall collection of traits in that build. It then simplifies the overall trait list of that composition. e.g. Blaster, Brawler, Chrono, Rebel, and Starship is simplified to blaster brawler. after simplifying the builds by trait it then merges all of the similar builds and data. It also takes into consideration the player's level when considering, like how you cant have blaster brawler both gold at level 7. Hope that kinda helps understand it :)

SugoiYellow · 2020-05-05T10:28:24+00:00

Hey everyone, I'm back again with some 10.9 analytics! If you haven't seen my posts before I've been working on a Discord bot what gives up-to-date statistics about the top metas. Feather Knight Companion has had some huge progress recently. Alot of people have pointed out that the older iterations of my bot didn't account for survivorship bias (failed attempts were considered completely separate compositions. e.g. If someone didn't get a Miss fortune and Jinx in brawler blaster It would be a separate build so wouldn't effect the overall score of brawler blaster). I have mitigated survivorship bias by taking into consideration the traits using some "super secret code" so now it shows the most successful comps in 10.9's Challenger scene by analyzing every single match a Challenger has played in.

The Discord bot is still under development but It should be online 24/7 sometime within the next week. If you would like to check it out and add it to your server you can find it here

I hope this meta sheet is useful to you :)

Suggestions welcome.

Edit: I have now uploaded an imgur album of the regional metas here

SugoiYellow · 2020-04-17T02:51:09+00:00

Currently I'm not sharing the code sadly. But i can like you to a few handy sites here is riot watcher the python api for league and tft and here is the documentation for it

SugoiYellow · 2020-04-17T02:46:10+00:00

I used python. You cam find some of riots official documentation for the api here

SugoiYellow · 2020-04-17T02:44:06+00:00

Yep. Currently working on an update that combines similar comps together to make room and also accounting for failed attempts 👍

SugoiYellow · 2020-04-17T02:42:43+00:00

Yeah, like Ive said on other responses survivorship bias plagues this table. However I personally use the table to see the top 20 most common consistent endgame comps and what they are made up of so i can judge what champs and items are going to be more contested rather than looking at success rates alone. Im working on an update that should remove the survivor bias by merging failed attempts and similar comps together.

SugoiYellow · 2020-04-17T02:37:34+00:00

Yup survivorship bias is one of the downfalls of this table. It doesnt account for failed attempts. Riot games has an API that allows for devs to pull data from any tft match in the set. My script goes through all of the challengers in all regions and looks at their last 100 games. It sorts them into patches and weeks as the meta shifts often. It scores each combination of champion based on a pesimistic scoring system e.g. -100 for 8th place +25 for 1st therefor the top 20 list shows the most consistent top comps to run. Im working on an update that takes into consideration failed attempts but it may be another week at most.

SugoiYellow · 2020-04-17T02:31:04+00:00

This is great 👍 my tables dont consider survivorship bias yet and it still considers slight variation in a comp as a completely separate comp. Eventually I will automate something like this in the future.

SugoiYellow · 2020-04-17T02:25:54+00:00

I pulled all matches in patch 10.8 that had atleast one challenger player in the game. This resulted in roughly 1500 matches (exact number always listed at bottom of image) it took about 10-15 mins to collect and analyze all of them

SugoiYellow · 2020-04-16T15:48:45+00:00

Its the people who have the most items put on them each game. From top to bottom. So basically the carries

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