Optimizing Performance Through Data: Coach B.J. Dunne ’06 Visits McCartney Scholars

McCartney Scholars Program faculty advisor Elizabeth Wendorf welcomed Dunne to the group for the second year in a row and encouraged students to ask questions throughout the presentation. At MIT, Dunne and his team utilize statistics to demystify lineup decisions and rotations, and to help the athletes set records and goals for themselves to keep achieving. 

They do this through what Dunne calls “hustle stats”—data collected on players in practice in different categories from shooting, ball handling, execution, and rebounding for offense, and individual and team-based data points, and rebounding for defense. These “hustle stats” and the growth of the data over time create a meritocracy in basketball playing decisions, as players know they are being played based on their own production. It also eliminates questions of bias in coaching, as players know how they are being evaluated.

“I really believe in the term alignment. I think that's so important,” said Dunne. “Everyone in our program is aligned on what matters. The players know what impacts winning, and we as a staff do too. It rewards consistency, effort, and execution, and again, it's going to drive all of our decisions.” 

Players are also assigned two individualized goals per week and an accountability partner to focus on areas of personal growth.

While this is Dunne’s first year at MIT, he has seen remarkable success through the method.

Dunne and his family recently moved back to Massachusetts after seven years as the head coach of the Gettysburg College men’s basketball team, where that team started a similar method of tracking in Dunne’s first year of coaching that team, with resounding results.

Before Dunne’s tenure, the team won six games, and the program had seven losing seasons in nine years. “Four years later, we had the highest national ranking in school history. We won the regular-season championship for the first time in 123 years and won a game in the NCAA tournament. So I really believe in the numbers, and I really believe that it helps our players improve,” said Dunne.

Dunne’s journey to using math daily was not immediately apparent at Rivers or in college. “I was a sociology major,” Dunne says, “I was studying liberal arts and more into writing. But I think I’ve just grown to really love numbers and learned how to use them.”

Analytics on sports performance and player development has quickly become a standard in the sports industry, especially within basketball. Dunne discussed how the MIT team's coaching staff is using sophisticated AI models to generate recommendations and dashboards to optimize performance. 

“If you're not using analytics and AI, you’re going to fall behind,” said Dunne. “Every NBA team at this point is using AI. The majority of professional sports leagues, such as FIFA and the NBA, are using our MIT Sports Lab for data and consulting, which is pretty amazing.”

Dunne emphasized that the data and analytics are still very much employed in conjunction with the human side of coaching. 

“The culture of MIT is so different from the stereotype that's out there. It’s an incredibly collaborative place, which I really value. It's really different from all the other STEM schools; MIT is designed to not be able to survive it by yourself, and that's something that we utilize in sports at a high rate. It’s the collaboration piece, leaning on each other, and recognizing that everybody has strengths.”

Wendorf asked Dunne to share college advice for the rising seniors. In college, “there’s a place for everybody,” Dunne says. He encouraged students to resist the pressure to tailor their essay or their wants to someone else’s expectations.

“What's really cool about college is that everyone’s really unique on those campuses, and they were identified through the admissions process because they were authentic. So since everybody runs their own race, it's really easy to look at your friends who you know get in early decision, or they know where they want to go already, but everybody ends up at the right place.”