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.

\n","published_at","2025-08-30T05:01:38.017+08:00","published_url","rating_total",85,"share_total",925,"Why NBA Draft Prospects Are Overvalued: A Data-Driven Reality Check","updated_at","2025-08-30T05:46:38.017286+08:00",{"_430":245,"_223":451,"_631":632},"user_info",{"_633":451,"_297":634,"_641":451,"_617":451,"_642":245,"_244":245},"fans_total",{"_635":245,"_606":245,"_636":451,"_637":245,"_638":451,"_223":451,"_253":245,"_251":245,"_639":451,"_609":245,"_610":-5,"_7":245,"_255":245,"_640":451},"content_type","duration","format","height","size","width","follow_total","nick_name","view_total",1388,{"_602":646,"_611":-5,"_612":451,"_613":651,"_430":652,"_223":653,"_617":654,"_271":-5,"_244":655,"_306":-5,"_13":-5,"_620":656,"_622":-5,"_623":657,"_625":658,"_610":-5,"_7":659,"_628":660,"_587":661,"_643":664},[647],{"_297":648,"_223":-5,"_306":307,"_255":245},{"_606":245,"_253":649,"_251":650,"_609":245,"_610":-5,"_7":245,"_255":245},"mlijazlp6yyc.png","6qxsri/d64y",1624,"/why-im-betting-on-sheppard-even-if-the-league-is-against-him",27641,537,"

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.

\n","2025-08-24T17:20:44.012553+08:00",76,1331,"Why I’m Betting on谢泼德 — Even If the Whole League Is Against Him","2025-08-24T17:27:44.012823+08:00",{"_430":245,"_223":451,"_631":662},{"_633":451,"_297":663,"_641":451,"_617":451,"_642":245,"_244":245},{"_635":245,"_606":245,"_636":451,"_637":245,"_638":451,"_223":451,"_253":245,"_251":245,"_639":451,"_609":245,"_610":-5,"_7":245,"_255":245,"_640":451},351,"features",[],"message",{"_430":669,"_223":670,"_292":-5,"_631":671},"/data-driven-dan-2001",30054,{"_633":672,"_297":673,"_641":683,"_617":684,"_642":685,"_244":686},846,{"_635":674,"_606":245,"_636":451,"_637":675,"_638":676,"_223":677,"_253":678,"_251":679,"_639":680,"_609":681,"_610":682,"_7":245,"_255":245,"_640":676},"image/png","png",512,336501,"mlh6prhswc9x.png","6qxso4/d0ib",328920,".png",[],656,79290,"DataDan2001","MIT-trained data analyst turning sports stats into smart bets. I break down NBA & soccer predictions with math, not hype. Join the logic revolution.","data",{"_274":592,"_689":690,"_691":692},"action","DsUserInfo","query",{},{"_268":245,"_269":245,"_270":245},"actionData","errors"]

Global Espns

DataDan2001

個人介紹