As a data scientist who’s modeled NBA seasons for years, I’ve watched the Spurs transform from lottery fodder to playoff contenders. Their young core—Scahfer, Wiggins, Nembhard, and the surprising emergence of Victor Wembanyama—defies expectations. But is it sustainable? Let’s break down the numbers behind their rise, the emotional arc of their development, and what this means for the future of team-building in basketball. Spoiler: It’s not just talent—it’s culture.

As a London-based NBA data analyst, I’ve tracked the Warriors’ four-year rebuild through cold statistics and raw player performance. From the hype around 'DiG' to the quiet rise of others, this is not just a fan’s lament—but a logical breakdown of what worked, what didn’t, and why some narratives are built on emotion, not efficiency.

As a data analyst who’s modeled NBA trajectories for ESPN, I’ve seen hype cycles come and go. Right now, one player is dominating headlines—yet I’m not buying the noise. In this post, I break down what the stats actually say about this draft buzz, why elite players like Durant and George didn’t get fooled, and what we should really watch in the final week before the draft. Let’s separate signal from noise—with numbers.

As a data analyst entrenched in NBA metrics, I dissect the Lakers' baffling decision to release Alex Caruso—a move that defied both analytics and common sense. While the franchise claims luxury tax wasn't the culprit, their subsequent spending on inferior perimeter defenders like Horton-Tucker and Beverley reveals a staggering miscalculation of player value. Through win shares and defensive ratings, this article exposes how LA's front office ignored quantifiable evidence in favor of flawed instincts.

As a data analyst crunching NBA numbers, I've watched Jalen Green's trajectory with clinical interest. This piece dissects how Houston's young 'star' faced a brutal wake-up call under coach Udoka's meritocracy. Using shot charts and advanced metrics, we'll explore why his perceived potential clashes with hard performance data - and what this means for the Rockets' rebuild strategy moving forward.

As a data analyst who's spent years crunching NBA numbers, I couldn't help but notice something peculiar about Jonathan Kuminga's playoff performance against Minnesota. Contrary to popular belief, the Warriors' young forward wasn't just feasting on small guards - he was tearing apart the Timberwolves' vaunted frontcourt. My breakdown of the matchup data reveals how Minnesota's defensive scheme essentially rolled out the red carpet for Kuminga's breakout series.

As a data analyst obsessed with NBA statistics, I dive into the curious case of Shai Gilgeous-Alexander's MVP candidacy. Why do critics emerge only when players approach greatness? Using xG metrics and cold hard numbers, I dissect the hypocrisy of fandom and the algorithms that expose it. Spoiler: math doesn't lie, but basketball Twitter certainly tries.

As a data analyst obsessed with basketball metrics, I couldn't help but scratch my head at the Oklahoma City Thunder's 68-win season. A roster stacked with seven rotation guards yet lacking a traditional playmaker? Defense relying on undersized matchups? Poor three-point shooting but elite efficiency? This article breaks down the statistical anomalies and tactical brilliance behind their improbable Finals run, with my signature mix of cold hard numbers and dry Midwest humor.

As a 35-year-old sports data scientist, I dissect my 17-year obsession with the Oklahoma City Thunder through advanced metrics and personal milestones. From Durant's MVP seasons to SGA's rise, this is how basketball fandom intertwines with life chapters – analyzed with Python scripts and playoff heartbreaks.