ওভারড্রাইভ ইফেক्ट

আমি সততা: Maxime Raynaud-এর ‘2025 NBA Draft’ -এ ‘Radar’ -এইচওয়াই।

তবুও, ‘data’ -গুলি ‘lies’ -এইচওয়াই।

Stanford -এ 19.8 PPG & 10.3 RPG (ACC) – অধিকতম rebounder & scoring leader.

‘সপশ’ -উপযোগি?

হজম: Raynaud “stretch four”? 44% from three (84 spot-up attempts) – near elite for a center.

Low-post scoring rate: 50.7% (Synergy) – rare in today’s game.

Putback efficiency: 67.4% Fingertip finish: 63.6% – not just grab, but score.

Dfense & Movement?

The truth is hard: Block rate: only 4.6% Pct under pressure within five feet: 52.3% Slow footwork vs crossovers. delayed reactions on perimeter. moves like an oak tree in wind. suffers vs guards/wings using screens. can’t switch effectively. fails to contest shots well. in defense, he’s often the obstacle — not anchor.

Stanford was his classroom — will it translate?

team had only two double-digit scorers, everything ran through him, zonal offense became single pivot play, others needed hot shooting to succeed. i.e., stats inflated by weak competition? in NBA? No time to set up spin move after one defensive mistake vs Tatum/Booker! is this model survivable beyond ACC? yet measurable…

Final Verdict: Floor vs Ceiling – A Model-Based Prediction

The real question isn’t if he’ll be drafted — it’s how high in Round One.* analytics say mid-first round (8–15), depending on team need.* i.f.your team needs floor-spacing off bench units, his role as a role player, not starter.* i.f.defensive systems are priority, his flaws may cost early on.* bu if you believe in growth via structure… something special here.* currently not yet ‘The Next Luke Kornet’…* bu with time? Could become one of those rare gems proving analytics wrong about ceilings… just about floors.