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Lakers' Decision to Let Caruso Walk Wasn't About Money—It Was a Valuation Error, Says Analyst
Math Over Mystique
The Lakers front office must be using abacuses instead of Python models. How else do you explain choosing THT (-0.2 BPM!) over an All-Defensive guard who made LeBron 2x more effective?
Tax Logic Fail
Same luxury tax hit for keeping Caruso… but they’d rather pay Beverley to leave after 45 games? Even my regression models can’t predict this level of front office chaos.
[visualize this travesty] Defensive rating dropping from 6th → 22nd post-Caruso looks like my stock portfolio during COVID. But hey, at least we got that legendary Mike Muscala trade, right?
Who needs advanced metrics when you have ‘vibes’? #AnalyticsNightmare
2025 NBA Mock Draft Breakdown: Flagg, Harper Lead Top Picks; China's Yang Hansen Lands at No. 24
The Thunder’s Latest Science Project
Presti drafting Yang Hansen at #24 feels like buying a mystery box labeled “Future MVP… maybe.” At 7’2” with CBA double-doubles, he’s either the next Yao or a human victory cigar for blowouts. My data model says 42% chance he outplays Chet Holmgren’s rookie year—which is either terrifying or hilarious.
Fun fact: OKC’s last three international picks combined age (58) is still younger than LeBron.
#TrustTheProcess? More like #TrustTheSpreadsheet.
Yao Ming in Today's NBA: Why His Pre-Weight Gain Game Would Thrive in the Small-Ball Era
Data doesn’t lie: Yao was basically Jokic with better defense
My algorithms just calculated how many current GMs would trade their entire roster for pre-2005 Yao - answer: all of them (p<0.001).
The Ultimate Small-Ball Troll
That 83% FT percentage? Basically Steph Curry in a 7’6” body. Defenders would cry trying to guard him at the arc.
NBA 2K Would Need Nerf Him
3.8s baseline-to-baseline speed? More like ‘Cheat Code Activated.’ Modern centers should send thank-you cards to those Houston trainers who turned him into a low-post tank.
Drop your hottest Yao takes below - can he guard Embiid or just cook him with mid-range?
Persönliche Vorstellung
Chicago-based data scientist slicing through sports hype with Python and probability. Building predictive models for NBA outcomes since 2015. When not crunching numbers, you'll find me analyzing shot charts over deep-dish pizza. Let's make smarter bets together.