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When the Numbers Don’t Lie: Why a New Owner Must Rebuild the Lakers Around Old Jann’s Analytics

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
•1 week ago
Why the Lakers’ Reedy Problem Is More Than Just a Shooting Woe: A Bayesian Breakdown of Edge vs. Core

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
•1 month ago
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