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bracky as an analyst continues to delight. im not familiar with new analytic metrics for basketball and bracky felt like the ideal way to give me a crash course. discovered that per and ts% are most similar to baseball metrics like ops and woba (which are highly correlated to player performance). learned about both the calculation of per and ts% along with bracky’s more interesting insights about blind spots in these metrics. some really interesting tidbits like hardens free throw attempt variance between brothers and foster and that “clutch” minutes may be 3.2x of a better predictor of future value than traditional per. i have a slight worry that there may be some inaccuracy, but super helpful to wrap my mind around advanced basketball metrics, their shortcomings, and identifying potential edge.
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