As a former MIT data scientist and NBA analytics intern, I’ve built models that expose how media hype distorts player evaluations. This post breaks down why teams and fans overrate certain prospects—using real shot charts, win probability shifts, and regression analysis. Spoiler: The ‘can’t-miss’ hype is often just noise. Let’s cut through the bias with cold logic—and maybe a chuckle at the expense of overhyped rookies.

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As a data-driven analyst with a track record of spotting future stars early, I’ve seen what others miss. Despite being undervalued and constantly traded rumors,谢泼德’s rookie season reveals elite traits: pure shooting, elite vision, and surprisingly strong defense for his size. This isn’t hype — it’s Bayesian probability backed by film study and small-sample performance. Let’s cut through the noise.

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DataDan2001

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