Abstract

It is a commonplace that the injury plays a vital influence in an NBA match and it may reverse the result of two teams with wide strength disparity. In this article, in order to decrease the uncertainty of the risk in the coming match, we propose a pipeline from gathering data at the player’s level including the fundamental statistics and the performance in the match before and data at the team’s level including the basic information and the opponent team’s status in the match we predict on. Confined to the limited and extremely unbalanced data, our result showed a limited power on injury prediction but it made a not bad result on the injury of the star player in a team. We also analyze the contribution of the factors to our prediction. It demonstrated that player’s own performance matters most in their injury. The Principal Component Analysis is also applied to help reduce the dimension of our data and to show the correlation of different features.

Highlights

  • With the closing of the 2019th NBA final, the Golden State of Warriors was defeated by Toronto raptors by 2:4 which signed a breakdown of a dynasty

  • Some researchers find that the rate of muscle injury was significantly increased in subjects with untreated strength imbalances in comparison with players showing no imbalance in preseason by using a standardized concentric and eccentric isokinetic assessment to identify soccer players with strength imbalances [4]

  • The random forest classifier consists of a combination of tree classifiers where each classifier is generated using a random vector sampled independently from the input vector, and each tree casts a unit vote for the most popular class to classify an input vector

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Summary

Introduction

With the closing of the 2019th NBA final, the Golden State of Warriors was defeated by Toronto raptors by 2:4 which signed a breakdown of a dynasty During these battles, the injuries coming one after another tear the Warrior apart, leading them not to be able to face the impacts from the Raptors. The injuries coming one after another tear the Warrior apart, leading them not to be able to face the impacts from the Raptors When it talks to injury of professional athletes, it is a nightmare to these players who rely on their health to make a living and to the people who appreciate these players’ performances. We hope our model can act as a reference for the coach and manager of the Association to keep their players from injury

Background
Method
Original Data
Data Processing and Data Introduction
Findings
Conclusions & Discussion
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