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Published byElian Budge Modified over 10 years ago
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League of Legends: Predictive Analysis on the Professional Scene By Justin White
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Background What is LoL? o 27 million daily players worldwide o 67 million monthly players o 5 vs. 5 o 118 champions currently
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Picks and Bans Prior to game o Ban three champions o Draft champions
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Professional Scene Primary Tournaments for each Region North America o NA League Championship Series Europe o EU League Championship Series Korea o OGN
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International Tournaments Season 3 World Finals o 2 million dollar prize pool o 14 teams
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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
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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
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Implementation Projeny o The Probabilistic Networks Generator in Java o Requires Matlab Bayes Net Toolbox JMatLink http://projeny.sourceforge.net https://code.google.com/p/bnt/ http://jmatlink.sourceforge.net/
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Status Database Environment Test learning algorithms o Bayesian Parameter Learning o Batch MLE/MAP parameter learning using EM
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Thank You
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