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The Garbage-Time Tax: Why Net Rating Needs a Red Pen
Net rating looks clean until the end of the bench starts turning a 14-point game into a fake referendum.
SportsHighLight · Beat
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Cross-sport frameworks for reading the numbers. Sample size, regression to the mean, role context, the discipline of losing an argument with yourself. The conceptual toolkit before the sport-specific deep dive.
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The Possession Trap: When 62 Percent of the Ball Means Less Than You Think
Possession sounds like control until the team with 38 percent gets the three best chances and walks away laughing.
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The Schedule Tax: Why Every Hot Streak Owes the Calendar Money
A streak can be a revelation. It can also be four tired opponents, two backup centers, and a calendar with a sense of humor.
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The Usage-Rate Mirage: When Having the Ball Becomes the Alibi
Usage rate is not a halo. Sometimes it explains the burden. Sometimes it hides the mess.
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Survivorship Bias: Why Every Champion Looks Inevitable When You Already Know Who Won
Survivorship bias, how it warps every sports retrospective, where it shows up in the data, and how to write around it without falling into...
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Reading Team Trends: The Second Sample Rule
A working guide to reading team trends without falling for the streak. Sample size, schedule strength, injury fog, rotation experiments, regression to the mean...
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Sports Analytics, Honestly: The Working Primer
A working primer on sports analytics for fans who have already watched a thousand games — the metrics that survive arguments, the places they...
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Bayesian Updating in Sports: How to Change Your Mind Like a Pro
Bayesian updating in sports — what the method actually is, how it applies to player evaluation, team analysis, and award voting, and how to...