![Riot Games reports record-breaking 21.8 million average minute audience for Worlds 2019 — over 1 billion hours watched in total - Inven Global Riot Games reports record-breaking 21.8 million average minute audience for Worlds 2019 — over 1 billion hours watched in total - Inven Global](https://static.invenglobal.com/upload/image/2019/12/17/i1576602274596077.png)
Riot Games reports record-breaking 21.8 million average minute audience for Worlds 2019 — over 1 billion hours watched in total - Inven Global
![Illustration of different strategies. (a) indicates the champion with... | Download Scientific Diagram Illustration of different strategies. (a) indicates the champion with... | Download Scientific Diagram](https://www.researchgate.net/publication/360232943/figure/fig3/AS:1149674610278408@1651115195751/Illustration-of-different-strategies-a-indicates-the-champion-with-the-highest-win.png)
Illustration of different strategies. (a) indicates the champion with... | Download Scientific Diagram
![Graphics] One-trick win-rates for every champion (except Tahm Kench), plotted against Plat+ win-rate, pick-rate, and ban-rate : r/leagueoflegends Graphics] One-trick win-rates for every champion (except Tahm Kench), plotted against Plat+ win-rate, pick-rate, and ban-rate : r/leagueoflegends](https://preview.redd.it/ft7hz622iv171.png?width=1619&format=png&auto=webp&s=63de9dd5151d86eb01892d253d61f3f79407f06d)
Graphics] One-trick win-rates for every champion (except Tahm Kench), plotted against Plat+ win-rate, pick-rate, and ban-rate : r/leagueoflegends
Mobalytics - Highest Win Rate Champions! 📊 For champion stats, builds and combos, visit our website - Link in bio! 🌎 #mobalytics #leagueoflegends #riotgames #league | Facebook
![Discussing the Champion-specific Player Win-rate Factor in League of Legends Match Prediction | by Seouk Jun Kim | Towards Data Science Discussing the Champion-specific Player Win-rate Factor in League of Legends Match Prediction | by Seouk Jun Kim | Towards Data Science](https://miro.medium.com/v2/resize:fit:1400/1*wuEUDAkSJw0qIIAOK4qoiw.jpeg)
Discussing the Champion-specific Player Win-rate Factor in League of Legends Match Prediction | by Seouk Jun Kim | Towards Data Science
![Who loved who? - A breakdown of the most-picked champions across the four major LoL regions" - Inven Global Who loved who? - A breakdown of the most-picked champions across the four major LoL regions" - Inven Global](https://static.invenglobal.com/upload/image/2019/12/19/o1576745775158424.png)