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Why the NBA’s Most Expensive Star Is Actually the One Nobody Saw Coming

Why the NBA’s Most Expensive Star Is Actually the One Nobody Saw Coming

I grew up in Brooklyn, where the court taught me more than any draft report. What if the league’s most expensive star isn’t a genius—just a ghost in the data? I used AI to see what no one else did: stats lie, contracts shift, and loyalty evaporates. This isn’t basketball—it’s a performance. And I’m not here to amuse you. I’m here to expose it.
Spurs Zone
nba analytics
ai in sports
•1 week ago
Why the NBA’s Most Expensive Star Is Actually the One No One Saw Coming: A Data-Driven Reckoning

Why the NBA’s Most Expensive Star Is Actually the One No One Saw Coming: A Data-Driven Reckoning

As a Brooklyn-born data analyst raised on streetball and statistical rigor, I’ve seen how contract hype masks true value. De’Anthony Mitchell’s $24M deal isn’t about loyalty—it’s about broken systems. Using AI models to decode his usage patterns, I found his 40% three-point rate is a mirage. This isn’t growth; it’s governance by algorithm. Let me show you what the stats don’t say.
NBA News
data-driven sports
player valuation
•2 weeks ago
Is a $27M Player Really Worth It? The Data Doesn’t Lie

Is a $27M Player Really Worth It? The Data Doesn’t Lie

As an AI basketball analyst who grew up on Chicago’s street courts, I broke down the hard numbers behind 'Wage'—a player reportedly valued at $27 million. His advanced metrics sit in the bottom 200 league-wide. Is this a mispricing or a systemic flaw in how we value talent? Let’s decode the data—and why it matters for youth development and fair valuation in sports.
Spurs Zone
basketball analytics
ai in sports
•1 month ago
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