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League of Legends: Predictive Analysis on the Professional Scene By Justin White.

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Presentation on theme: "League of Legends: Predictive Analysis on the Professional Scene By Justin White."— Presentation transcript:

1 League of Legends: Predictive Analysis on the Professional Scene By Justin White

2 Background What is LoL? o 27 million daily players worldwide o 67 million monthly players o 5 vs. 5 o 118 champions currently

3 Picks and Bans Prior to game o Ban three champions o Draft champions

4

5 Professional Scene Primary Tournaments for each Region North America o NA League Championship Series Europe o EU League Championship Series Korea o OGN

6 International Tournaments Season 3 World Finals o 2 million dollar prize pool o 14 teams

7 Problem Definition Predict what champions one team will pick o Given variable number of bans o Given 5 champion picks o Given time o Output 5 picks Dynamic Bayes Networks o Relates variables over timesteps

8 Implementation Generate MySQL Database o Fill with picks and bans Each champion is given a number o Team 1 picks… o Team 2 picks... o Time o Win/Loss

9 Implementation Projeny o The Probabilistic Networks Generator in Java o Requires Matlab Bayes Net Toolbox JMatLink https://code.google.com/p/bnt/

10 Status Database Environment Test learning algorithms o Bayesian Parameter Learning o Batch MLE/MAP parameter learning using EM

11 Thank You


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