As a Chicago-based sports analyst, I break down Jonathan Kuminga's four tumultuous seasons with the Golden State Warriors through cold, hard data. From defensive lapses to locker room drama, the numbers reveal why this promising young forward never fit the Warriors' system – and why trading him might be addition by subtraction. Love analytics? Hate emotional takes? This is your evidence-based breakdown.

As a data analyst who's obsessed with basketball's hidden mechanics, I break down why Draymond Green is Golden State's true tempo-setter. Beyond stats, his ability to orchestrate both offensive flow and defensive disruption makes him the heartbeat of the Warriors' system. This isn't just about assists or steals—it's about rhythmic intelligence that turns chaos into championship basketball.

As a London-based sports data analyst, I crunch the numbers on 10 available forwards who could elevate the Golden State Warriors' roster without disrupting their core trio. Using metrics like xG, salary implications, and defensive compatibility, this analysis cuts through fan biases to reveal which players truly align with the Warriors' 2026 championship aspirations. Spoiler: one undervalued option might surprise you.

As a data-driven NBA analyst, I break down why the Warriors need to make tough roster decisions this summer. Draymond Green's declining impact, Moses Moody's inconsistent shooting, and other key flaws are hurting Golden State's championship aspirations. Let's dive into the numbers behind who should stay and who should go.

As a London-based sports data analyst, I dive into whether Steph Curry's decision to extend his contract early—adding a year through 2027—was financially and competitively optimal. With $100M+ in off-court earnings already, did locking in top salary until age 38 sacrifice long-term team flexibility? Crunching NBA payroll models and comparing to Duncan's legacy-building discounts, this piece balances cold metrics with championship calculus. Spoiler: The answer involves more spreadsheets than morality tales.

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-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 data-driven NBA analyst, I break down the relentless criticism surrounding Draymond Green. Despite Warriors fans acknowledging his flaws and the lack of trade interest from teams like the Rockets and Suns, critics continue to demand more. Are we missing the bigger picture with advanced stats? Let's dive into the numbers and emotions fueling this polarizing debate.

As a sports data analyst, I dive into why Warriors' guard Brandin Podziemski ('Podz') is set to surprise critics next season. Despite his playoff struggles against Minnesota, the numbers reveal three key factors - rest-driven recovery, Curry's absence as a learning catalyst, and Podz's proven resilience. This isn't fan optimism; it's probability speaking through shot charts and hustle stats.