As a data analyst who eats basketball stats for breakfast, I dove into Harper's Summer League performance. His lightning-fast handles and fearless drives pop off the spreadsheet, but the numbers reveal three red flags: inconsistent shooting splits, turnover-prone playmaking, and adapting to fragmented minutes. Here's why Spurs fans should temper expectations—but not lose hope—for this high-ceiling guard.

Former NBA player Jeff Teague recently claimed that Dylan Harper, if drafted by the San Antonio Spurs, wouldn't become a star within three years—just like Kawhi Leonard's early years. As a sports data analyst, I dive into the numbers to see if Teague's hot take holds water. From usage rates to developmental systems, we'll examine whether Harper's path would mirror Kawhi's or if this comparison misses key variables. Spoiler: The stats might surprise you.

As a data-driven NBA analyst, I break down why the Spurs' proposed lineup of Fox, Castle, KJ, Barnes, and Wembanyama might just be the most positionally optimized roster in the league. With KJ's muscle gain drawing Dort comparisons and Vassell's leadership off the bench, this configuration balances contracts, skills, and player development. My models suggest this could solve San Antonio's mid-tier contract logjam while maximizing Wemby's unique talents.

As a data-driven NBA analyst, I break down the realistic trade packages the Warriors could offer to acquire San Antonio's coveted No. 2 draft pick for Reed Sheppard. Examining roster fits, contract economics, and Gregg Popovich's legendary stubbornness through Python-modeled trade probabilities. Could Kuminga + picks sway them? Would Steve Kerr's homecoming move the needle? Let's crunch the numbers.

As a seasoned NBA data analyst, I break down the recent trade dynamics where the Spurs emerged as the smartest players, leaving the Heat empty-handed. With cold-hard stats and a touch of sarcasm, I reveal why Miami's 'all-talk-no-action' strategy backfired and how Phoenix's stubbornness played into San Antonio's hands. A must-read for fans who love tactical deep dives.

As a London-based sports data analyst with a passion for NBA strategy, I dive into whether Jonathan Isaac could be the ideal power forward complement to Victor Wembanyama in San Antonio. Using advanced metrics and injury analytics, we'll explore if this high-risk, high-reward trade makes statistical sense for both teams.

As a data analyst with a penchant for basketball, I delve into the latest happenings around the San Antonio Spurs. From Patty Mills stepping into a new role as the GM for the University of Hawaii men's basketball program to Jeremy Sochan’s community-driven juice giveaway, this piece breaks down the numbers and stories behind these events. Join me in exploring how these moves reflect both personal milestones and team culture, all through the lens of cold, hard data—with a sprinkle of dry humor.

As a data analyst obsessed with NBA trends, I dive into the 2013 Spurs' unconventional championship roster that featured five guards in their nine-man rotation. Using advanced metrics and historical context, I'll explain how Gregg Popovich's small-ball experiment defied traditional basketball wisdom - proving that three-point shooting and chemistry can outweigh height disadvantages. Join me for a numbers-driven breakdown of why today's teams shouldn't fear guard-heavy lineups.

As a sports data analyst with a penchant for debunking myths with numbers, I dive into the potential Kevin Durant trade to the Spurs. Would adding an extra first-round pick make sense for both teams? Let’s crunch the data and see if the math aligns with the madness of NBA trades.