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When the Numbers Don’t Lie: Why a New Owner Must Rebuild the Lakers Around Old Jann’s Analytics
As a data-driven analyst raised on Bayesian probabilities and basketball culture, I’ve watched franchises collapse under hype. The Lakers aren’t just a team—they’re a living algorithm. This isn’t about money; it’s about what the numbers reveal when emotion is stripped away. I argue that only cold, statistical truth—not fan loyalty—can resurrect greatness. Here, the silence of flawed models speaks louder than any superstar deal.
Lakers Hub
lakers analytics
sports data modeling
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1 week ago
Why the Lakers’ Reedy Problem Is More Than Just a Shooting Woe: A Bayesian Breakdown of Edge vs. Core
As a data巫师 from East London, I’ve watched the Lakers’ obsession with Reedy’s three-point volume while ignoring their interior defense—classic stats masking as strategy. This isn’t intuition; it’s a probability failure. Using Bayesian models, I dissect how over-reliance on perimeter shooting collapses under playoff pressure. The data doesn’t lie—it just echoes the same old delusion: when xG spikes, wins fade. Let me show you why.
Lakers Hub
bayesian basketball
lakers analytics
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1 month ago