Exploratory analysis of correlation and regression between MPG Games Missed FG percent and PPG. The scatter and comparison tools use the same dataset shown on the Data page.
Pearson MPG and FG percent
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Pearson Games Missed and FG percent
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OLS FG percent as a function of MPG
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OLS PPG as a function of Games Missed
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MPG and FG percent scatter
Compare two players
Radar shows MPG PPG and FG percent for direct visual comparison.
Written Analysis
The statistical results indicate weak relationships between workload and shooting efficiency. The correlation between MPG and FG percent is small suggesting that playing more minutes does not consistently improve or reduce efficiency across these starters. Similarly games missed show almost no meaningful linear relationship with FG percent which suggests that season level rest alone is not a strong predictor of improved shooting performance.
Regression results reinforce this interpretation. Minutes played explain only a small portion of the variation in FG percent and games missed explain very little of the variation in PPG. These findings imply that performance differences are likely influenced more by role usage rate shot selection and team context rather than simple measures of rest or total minutes at the season level.