TFT-Study

The code in here is to ensure some versioning in git.
These visualizations should be run in jupyter (I use jovian).
(Also, use your own riot api key if you'd like to reference the same queries I use)

Table of Contents

1. Does high elo equate to a high win rate?
2. Example2
3. Third Example
4. Fourth Example

Avg Challenger Win Rate

https://jovian.ai/pkwak1/riot-api-test Files referenced: riot-api-test.py

The question here is, do top players have a high 'win rate'? The hypothesis here is does it take a lot of firsts to reach high elo, or is it simply a lot of top 4 games? What effects does that have on the system? I classify a win as a first place.

This is the overall average in challenger elo: 17.72% as of 11/24

This is the top 20 win rates in challenger elo, win rate with respect to win loss percentage as of 11/24

Notebook Image

X-axis names: chunkypapa, iCopyKeane, TSM FTX Souless, enaek, iG Noobowl, Ramblinnn, Milk Guy, JimLoveAngie, Velayy, digitalotus, gaozi, TSM FTX Kiyoon, prin2, HuluBro I 98, Souless, plumbum, poisonpirate, Pivot Valorant, xiaoheQ

Example2

Third Example

Fourth Example