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NBA Draft—NCAA
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Is Kevin Durant a Trade Liability? The Real Data Behind the 'Sleepy Guard' Myth
As a data scientist who’s spent seven years decoding NBA transactions with Python-driven models, I’ve seen this myth too often: labeling a young guard as a 'sleepy' asset based on gut instinct. The truth? It’s not about play style or perceived laziness—it’s about defensive metrics no one’s measuring. Let me show you what the numbers actually reveal.
Rocket Zone
kevin durant
nba analytics
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4 days ago
Why Are These Defensive Metrics Still Overlooked in NBA Analytics?
As a data scientist from MIT with a background in sports analytics, I’ve spent seven years decoding hidden patterns in NBA defensive stats—yet most teams still ignore the metrics that matter. This piece dissects why overlooked indicators like rim protection, closeout efficiency, and transition defense are being neglected despite their predictive power. Drawing from Synergy Sports’ database and my own models, I reveal what’s truly at stake—and why the status quo persists.
NBA Draft—NCAA
nba analytics
defensive metrics
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1 week ago
The Lakers' Statistical Blunder: Why Letting Go of Alex Caruso Was a Data-Driven Mistake
As a data analyst entrenched in NBA metrics, I dissect the Lakers' baffling decision to release Alex Caruso—a move that defied both analytics and common sense. While the franchise claims luxury tax wasn't the culprit, their subsequent spending on inferior perimeter defenders like Horton-Tucker and Beverley reveals a staggering miscalculation of player value. Through win shares and defensive ratings, this article exposes how LA's front office ignored quantifiable evidence in favor of flawed instincts.
NBA Insights
nba analytics
lakers offseason
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2 months ago