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Prediction of NBA Game Pace

Prediction of NBA Game Pace. Fa Wang. Introduction. Possession based NBA game prediction dominates What is Pace? Total score = ASPM (points/possession) * Pace(possession) Example 20131210 Brooklyn vs Boston with Pace: 92 20131203 Houston vs Utah with Pace: 98. Flow Chart.

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Prediction of NBA Game Pace

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  1. Prediction of NBA Game Pace Fa Wang

  2. Introduction • Possession based NBA game prediction dominates • What is Pace? • Total score = ASPM (points/possession) * Pace(possession) • Example 20131210 Brooklyn vs Boston with Pace: 92 20131203 Houston vs Utah with Pace: 98

  3. Flow Chart

  4. Data Source & Features • Play by Play(PBP) Data • Team Average Attack/Defense Time • Real-time Score Difference • Game Stats Data • History Pace • Rest Info • Altitude • Injury

  5. PBP data: http://stats.nba.com/ • Game stats: http://www.basketball-reference.com/

  6. Experiment :Final MSE Result • Feature Set One: History Pace • Feature Set Two: One + Attack/Defense Time • Feature Set Three: Two + Rest + STD + Altitude…

  7. Conclusion & Future Work • Big data technology simplify programming as well improve efficiency • Feature Engineering is essential • Much to be done with PBP data

  8. Q & A

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