Analysis of Influence of Basketball Game-Related Statistics on Final Result Based on Differences at the 2017 FIBA Asia Cup

Abstract

Background: Many papers have been published on the topic of basketball players’ performance. Most of them have come from authors covering the field from USA and Europe, whereas the number of papers from the rest of the world, particularly Asia, has so far been small in numbers. Objectives: Evaluate the significance of the observed parameters in relation to the game outcome (winning/losing) at the last continental championship, 2017 FIBA Asia Cup. Methods: The sample of entity consisted of 40 games played at 2017 FIBA Asia Cup. The sample of variables consisted of 13 variables registered in the manner as set out by FIBA regulations and 15 derived (relative) variables. Accordingly, two basic models of regression were formed, i.e. absolute and relative, and they had the number of total points scored as their dependent variable. The correlation between the two models was performed by means of regression and correlation analysis of the two models-stepwise regression. Results: The obtained regression models and partial correlation indicate that winning and losing performance was heavily influenced in the absolute model, by the following: ∆FGM, ∆MFT, and ∆M3, accounting for 95.9% of difference. The second model extracted: ∆FG%, ∆TO%, ∆DR%, ∆PTS3%, and ∆FT%, accounting for 90.7% of difference between winning and losing teams. Conclusions: Considering the significance of shooting and defensive rebounding, basketball coaches have been strongly advised, in this and many previous works, to pay special attention to these segments of the game.