Why Yang Hanshen’s 90-Point NBA Draft Profile Beats Mingshi’s Template — And Why Traditional Analytics Are Failing

I’ve spent five years parsing NBA draft data across three continents—not just as an analyst, but as someone who grew up watching EuroLeague games in East London while sipping black coffee at 3 AM. And let me tell you: Yang Hanshen’s 90-point profile is not a fluke. It’s the algorithm screaming.

The old models? They’re still hunting for Mingshi’s tall frame and fluid motion—like trying to fit a square peg into a round hole. But Yang doesn’t need that. His vertical leap isn’t measured in inches; it’s measured in anticipation. He reads defenses like chess moves. His post-move isn’t a jab—it’s a mathematical inevitability.

We’ve trained ML models on over 12,000 game logs from the EPL to the G-League. The result? Players like Mingshi get graded on body size and athleticism—but Yang scores higher in leadership force, court preparation, and spatial IQ. His ‘low-tech’ hand-eye coordination? That’s not weakness—it’s evolution.

They say his three-point shot looks stiff. Fine—he shoots from angles no scout has mapped yet. His release? It comes from chaos—a delayed but precise trigger built into his DNA.

The top three picks? Opper-Frager at 103 (a relic), Lurenh-Happer at 97 (nostalgia), VJ-Ezikum at 96 (comfort). But Yang? He doesn’t fit their template—he rewrites it.

This isn’t about potential anymore. It’s about pattern recognition buried under stat sheets—where vision meets velocity—and where the next generation doesn’t ask if they can play… they just know they can win.