সুগস বনাম শেঙ্গুন

ডাটা-এর কাছে অনুভূতির কিছুই নয়

আমি ESPN-এর लेखक भाग थे, 8টি वर्ष प्रदर्शन के मॉडल बनाते हुए। मेरा मॉडल किसी खिलाड़ी की ‘हृदय’ बा ‘দমদমা’-এরও મহত্ত্ব-মানচিত্র-একটা समस्या: प्रति 36-মিনिट, संरक्षण प्रभाब।

সুগস? -0.8 শেঙ্গুন? +1.9

ইটা ‘ফারক’-এরও, ‘অসংখ্য’-

##আধুনিকতার Confusion উভয়ই 3-and-D-পথদর্শক—কিন্তু Real Fit?

সুগস: High post-এ offensive initiate → Turnover rate = 4.2/36m (Red flag) শেঙ্গুন: 3 & 4 – seamless; Offensive rebounding rate = 7.8% (Top 15%) ; Defense all three spots.

Suggs bad? No. Misplaced.

##Trades are Algorithmic—not Emotional Front offices love narrative: “He’s our core”… but my model runs on consistency. 7 games with both on court:

• Suggs off → Net rating -5.4
• Şengün off → +6.1 boost Data screams: Keep Şengün, trade Suggs. You can’t have two same roles unless one clearly wins—and this isn’t close.

##Why Players Get Traded (Even Good Ones) The world loves drama—chemistry, locker room issues—but real reason is efficiency. My model looks at Win Shares per Dollar spent. Suggs: Below average; Şengün: +20% above average. That alone justifies asset shift—even if painful emotionally.

##Final Word: Not Loyalty—Wins Matter I don’t root for teams—I root for accuracy. The best roster version includes Alperen Şengün as starting small-ball four—not backup or afterthought—but the shift toward modern NBA.