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NBA Draft—NCAA
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Will Kuminga Be Traded? The Data Doesn’t Lie—But the Silence Between Models Might
As a data-driven sports analyst raised on Bayesian probabilities and Brooklyn’s cold logic, I’ve watched the noise around Kuminga’s name. Every trade rumor is a signal in a broken model—statistical silence speaks louder than hype. This isn’t about fan loyalty; it’s about edge-case distributions no one else sees. Let the numbers tell the story.
Warriors Zone
bayesian sports analytics
kuminga trade prediction
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1 week ago
When xG Meets Fan Bias: Why Data, Not Intuition, Decides the Game
As a data巫师 from East London, I’ve watched clubs cling to gut feelings while xG values silently rewrite the rules. This isn’t about passion—it’s about posterior probabilities, Bayes theorem, and the cold math that exposes flimsy narratives. I break down 107–98 sequences in Premier League and NBA games where ‘faith’ meets regression. No religion here—just regression lines. The truth? It’s not what you see—it’s what the model predicts.
Thunder Zone
bayesian sports analytics
xg vs fan bias
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3 weeks ago
When xG Meets Fan Bias: A Data Witch’s Cold Take on Spurs’ Sacred Myths
As a London-born data analyst with a Bayesian edge, I’ve watched fans cling to gut feelings while ignoring the math. In this piece, I dissect why Spurs supporters still believe in outdated shot metrics — not because the data says otherwise, but because tradition feels sacred. No religion, just logic. Let’s run the numbers.
Spurs Hub
xg vs intuition
spurs fan bias
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1 month ago