Analyzing the Jaylen Brown Trade

The Boston Celtics’ recent choice to trade Jaylen Brown to the Philadelphia 76ers left many people shocked, especially since the perceived return felt underwhelming at first. Some commentators argued that the trade was necessary because the Milwaukee Bucks had considered Brown in a trade for Giannis Antetokounmpo. They claimed that if the Celtics dealt him, it could damage trust. Personally, I’m skeptical about that rationale. Shams Charania reported that Brown never requested a trade, even after the Bucks opted for a much better offer from Miami. There was also talk from Colin Cowherd about Brown suffering from an ‘illness,’ which seemed off to many. This leads to a question: what truly motivated Boston to trade Brown?

It’s clear why fans and analysts rate Jaylen Brown as an elite player. Last season, he played a huge role in securing 56 wins for the Celtics during Jayson Tatum’s recovery from a torn Achilles, finishing sixth in MVP voting and even earning the NBA Finals MVP title in 2024.

So, how could the Celtics let go of such a talent for just two first-round picks and potentially another one? Some believe this decision reflects Boston’s front office view that Brown is overrated by fans and media. The Celtics had reportedly tested the waters with trade discussions, and this was apparently the best offer available.

The initial shock when the trade was announced was palpable. Many wondered if that was truly all the return Boston could muster. Critics were swift to grade the trade poorly; ESPN rated it a D+, while the Sixers scored an A-. CBS Sports echoed this with a D- for Boston and an A+ for Philadelphia. Interestingly, I graded the Celtics a C+ and the Sixers an A-, which somehow placed me among the more lenient reviewers. Other basketball pundits reached out to check if I was alright, with one describing it as “the most lopsided trade since Luka.”

Upon further reflection, my perspective on the trade has shifted. If I had to grade again, I’d possibly give both teams a B. I genuinely think Boston might end up winning this deal.

The simplest explanation for the trade is that while Brown is a skilled player, he does have weaknesses. He’s set to earn $180 million over the next three years, and the Celtics, it seems, have concluded that this contract isn’t conducive to their championship aspirations. With the current collective bargaining agreement, it’s tough to accommodate a large contract unless the player is exceptional. According to salary models, Brown’s on-court worth is estimated at $41 million while he’s due to receive $57 million, effectively costing the Celtics $16 million annually.

Is Brown really not elite? His last season record was impressive, and he did win MVP in the finals! But when you dig into the analytics, he struggles with advanced metrics that many NBA front offices now prioritize. This trade may mark a pivotal moment in the analytics movement within basketball. Even if the Celtics perform well next season, and the Sixers fall short, this trade might be viewed as the point where analytics fully took hold in the NBA.

Why did Boston trade Brown? I doubt it’s simply because they felt he thought he was the smartest in the room or due to irreparable relationship issues. Brown’s last season saw him with a -1.6 RAPM (Regularized Adjusted Plus-Minus), placing him among lower ranks in the league. RAPM measures a player’s effect on a team’s scoring margin per 100 possessions without relying on traditional stats like points and rebounds. It accounts for the strength of teammates and opponents. This analysis suggests that perhaps the Celtics fare better with Brown off the court.

Brown’s presence negatively impacted several key statistics for Boston, including turnover rates and second-chance points. He also appeared to lower opponents’ shooting efficiency defensively. It’s easy to see how advanced stats reveal significant flaws in his game.

Turnovers had been a glaring issue for Brown. His turnover rate was among the lowest in the league last season. Plus, he wasn’t particularly effective as a playmaker, with an assist-to-turnover ratio that ranked low too. These deficiencies can be hard for any team to overlook.

Defensively, while he may have been noted for his on-ball defense, his off-ball lapses have been problematic for years. In the grand scheme of team defense, off-ball performance tends to hold more weight. Teams often rely heavily on that aspect, as it impacts overall defense the most.

An important aspect of Brown’s departure is how the Celtics will redistribute his touches among other players. There was some amusement when the idea of Peyton Pritchard serving a Jalen Brunson-like role surfaced, but both players share strong control of turnovers. Last season, Pritchard led the NBA in assist-to-turnover ratio. By shifting Brown’s touches to Pritchard, the Celtics could see a significant improvement in turnovers, and it’ll be intriguing to see if Derrick White improves his shooting rhythm without relying as heavily on teammates like Brown.

It’s understandable if this analysis feels contrived. However, the Celtics have a top-notch front office, widely recognized as one of the best in the league. Many may think they know better than Brad Stevens and his team, but they’ve consistently shown their skill in team building, likely challenging conventional wisdom repeatedly.

Looking ahead, the Celtics are expected to remain a strong team next season. In fact, I predict they could even claim the top seed in the Eastern Conference. They have the potential to transition from Brown to Tatum for an entire season, possibly adding depth with players like Mitchell Robinson and Paul George while allowing younger talent like Hugo Gonzalez and Jordan Walsh to develop.

Brown’s trade might allow the Celtics to double down on their strategy of emphasizing three-point shooting and improving their offense. George tends to excel as a spot-up shooter, while Robinson is an excellent offensive rebounder. Eliminating Brown’s frequent midrange attempts could help the Celtics enhance their scoring efficiency significantly.

Ultimately, to win in basketball, you need more scoring opportunities than your opponent and to use those chances effectively. Viewed through this lens, the Celtics moving on without Brown doesn’t seem so unrealistic.

Smart front offices make decisions a year early rather than a year late. That’s exactly what the Celtics did. They’ve also managed to impose a burdensome contract onto one of their rivals while obtaining future draft picks in return. Among the least advantageous contracts in the NBA today, Brown’s likely ranks high—perhaps alongside figures like Joel Embiid and De’Aaron Fox. The Sixers, having acquired two such contracts, may feel the pinch sooner rather than later.

In a data-driven era, one might wonder why even watch the games. The beauty of analytics lies in capturing truths through extensive datasets. Yet, championships are clinched within shorter timeframes like the playoffs, where unpredictability rules. The Celtics may find routine success during the regular season, but a different challenge awaits in the postseason. Although I foresee them as a potential top seed, I would be surprised if they reach the 2027 NBA Finals.

If the Celtics falter in the playoffs, critics of the Brown trade will likely rejoice. But it’s not a certainty, given that the Celtics were recently ousted in the first round, and Brown was arguably their standout player. Should the Sixers underperform, the analytics community may declare superiority, insisting that trading for Brown wasn’t worth the hassle. In scenarios like this, both sides often claim victory, leaving the true victor ambiguous.

On a broader scale, I believe that the Jaylen Brown trade represents a pivotal moment for the embrace of analytics within basketball culture. The ultimate test will be whether league executives push for rule changes to enhance watchability while teams continue to rely on analytic insights. Other sports, like baseball, have already successfully navigated this path.

I get why fans and analysts might be hesitant to accept this shift. Still, I’ve been following and covering basketball—high school, college, and professional—since 2012, and I think I have a solid grasp of talent evaluation. While I can’t create intricate data models, I also won’t overlook their importance. Over the last decade or so, basketball has gradually shifted towards a heavier reliance on analytics. I suspect that the Brown trade will further quicken this evolution.