P REDICTION OF NBA G AME P ACE Fa Wang. I NTRODUCTION Possession based NBA game prediction dominates What is Pace? Total score = ASPM (points/possession)

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Presentation transcript:

P REDICTION OF NBA G AME P ACE Fa Wang

I NTRODUCTION Possession based NBA game prediction dominates What is Pace? Total score = ASPM (points/possession) * Pace(possession) Example Brooklyn vs Boston with Pace: Houston vs Utah with Pace: 98

F LOW C HART

D ATA S OURCE & F EATURES Play by Play(PBP) Data Team Average Attack/Defense Time Real-time Score Difference Game Stats Data History Pace Rest Info Altitude Injury

PBP data: Game stats: reference.com/ reference.com/

E XPERIMENT :F INAL MSE R ESULT Feature Set One: History Pace Feature Set Two: One + Attack/Defense Time Feature Set Three: Two + Rest + STD + Altitude…

C ONCLUSION & F UTURE W ORK Big data technology simplify programming as well improve efficiency Feature Engineering is essential Much to be done with PBP data

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