As a data analyst who once built AI models to predict NBA player development, I’ve seen how flawed training systems can derail even the most promising talents. Kuminga’s current approach—practicing only what he loves, not what he needs—mirrors a dangerous pattern in modern sports science. This isn’t just about skill gaps; it’s about systemic neglect of holistic growth. Let’s break down why this model fails, and what real athlete development should look like. Spoiler: it’s not just about dunking.

As a data scientist who’s built predictive models for NBA odds, I’ve seen how stats reveal hidden patterns. When Steph Curry posted golf photos with 'the underrated tour' hype, it wasn’t just a hobby post—it was a signal. Let’s break down why this quiet event matters more than you think, and how behavioral bias distorts what we value in sports. Spoiler: the underdog isn’t always losing.

As LeBron, Curry, and Durant near the end of their careers, the noise around 'legacy' and 'championship legitimacy' grows louder. From superteams to officiating debates, I break down why cold data and public opinion should take a back seat. As a data analyst who’s modeled NBA trajectories for five years, I argue: let history be the judge — not the algorithm or the internet troll. This isn’t about bias; it’s about perspective.

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 former MIT data scientist and NBA analytics expert, I break down Klay Thompson’s legendary 2018-19 season—not just the highlight reels, but the real numbers behind his peak. If you only saw highlights, you missed the full story. Here’s what the stats say about his true impact—and why 'K-Trey' remains one of the most efficient shooters in NBA history.

As a data analyst who’s modeled NBA player trajectories for ESPN, I’m breaking down why those doubting Harry’s fit with the Warriors miss a crucial piece: his rookie season with the Kings. With 50% shooting, 40% from three, and no primary role? That’s not a red flag—it’s proof of elite potential. Let’s unpack the numbers behind his quiet rise and why Steve Kerr would love to work with him.

As a data analyst with 5 years in NBA front offices, I break down the cold math behind why Jonathan Kuminga might be leaving the Warriors. It’s not just about talent—it’s about fit, minutes, and salary constraints. Using predictive modeling and roster efficiency metrics, I reveal why this '4th-best' player can’t coexist with Draymond Green and Jimmy Butler. Spoiler: it’s not about skill—it’s about space.

As a London-based sports data analyst, I’ve run the models. The numbers don’t lie: Stephen Curry’s legacy is already historic. But what if the final chapter ends at four championships? I explore the emotional math behind fandom, the illusion of 'wasted years,' and why even a perfect statistical profile can’t fully erase human longing. This isn’t just about wins—it’s about meaning.

As a data analyst who’s modeled NBA trajectories for years, I’ve seen players with raw talent—but few have the mental edge and quiet fire of this rising star. His ceiling isn’t just high; it’s unpredictable, which is rare in sports analytics. In this breakdown, I explore why his intangibles—mental strength, humility, and clutch DNA—are already outperforming box scores. If you’re tracking future superstars, this is the one to watch. The Warriors’ next era might not be planned… but it’s already coming.