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Why the Western Conference’s Most Underestimated Defense Signals Are Winning the Championship
As a data scientist raised in Brooklyn with roots in both African and Irish neighborhoods, I’ve seen how cold, analytical models reveal what hype misses: the West’s silent defensive shifts. This isn’t about stars—it’s about structure. In this piece, I break down why the most overlooked defensive patterns—like the Timberwolves’ rotation or Lakers’ rim pressure—are outperforming conventional wisdom. Data doesn’t cheer; it predicts.
Lakers Hub
data-driven basketball
nba defense analytics
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2025-11-1 8:8:36
Why Jeremy Sohan’s 25-Minute Defense Defies NBA Conventional Wisdom — And Why It Works
As a data scientist who built Bayesian models to decode defensive efficiency, I’ve seen it: Jeremy Sohan plays 25 minutes per game yet holds opponents to under 35% shooting. This isn’t luck—it’s algorithmic precision. His cold, calculated rotations disrupt spacing like a chess master. The data doesn’t lie—and neither does his impact on the Spurs’ defensive identity.
Spurs Hub
bayesian modeling
jeremy sohan
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1 month ago