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Use Machine Learning to infer best betting strategy to play the NBA fantasy sport game on DraftKings

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ECS-289K-Term-Project: Daily Fantasy NBA Betting Algorithm

Background

Daily Fantasy Sports websites such as DraftKings and Fanduel offer sport fans the ability to draft fantasy teams and then place monetary bets based on confidence in their fantasy teams' performance. Our self-proposed term project for ECS289K (Practitioner's Approach to Data Science) was to create an algorithm that would generate fantasy teams that would break even against the average user, or ideally, outperform users to return a profit.

Contact Information

  • Gabriel Castillo Cortes
  • Rylan Schaeffer
  • Yagnik Suchak
  • Jiaping (Vincent) Zhang

Academic Paper

Performance Evaluation

Prior Work