The Seattle Seahawks and New England Patriots will meet in Super Bowl LX on Sunday, Feb. 8. The Super Bowl is persistently the most-watched tv program in America, and thousands and thousands of followers have a vested curiosity in who will win. Students in John Tobias’ Intro to Sports Analytics class used data-backed insights to reply that query.
“The assignment was open ended to a certain extent,” Tobias stated. “You want to look for trends or precipitous drops between the regular season and the playoffs, and that’s what the students were able to uncover.”
Of the 20 teams that introduced, 19 picked the Seahawks to win. Students pointed to Seattle’s upward development in factors per recreation, passing effectivity and optimistic turnover differential. The group that predicted a Patriots win cited New England’s undefeated highway file as a bonus for the Super Bowl, which shall be performed in San Francisco.
Mason Cooper, a senior knowledge science main, led one of many teams that selected the Seahawks. His workforce pulled superior statistics to quantify the power of Seattle’s protection — a hurdle he believes is just too nice for Patriots quarterback Drake Maye to beat.
“It was cool to work with everybody to pull numbers and look historically at what metrics have contributed most to Super Bowl winners,” Cooper stated.
Akhi Chappidi, a senior sports activities analytics and bioinformatics main, predicts a 31–17 Seahawks win — and he went above and past to again up that declare.
Chappidi constructed a mannequin that processed knowledge from the 2020 by means of 2025 NFL seasons in 5 key areas: time of possession, turnovers, red-zone conversion share, third-down conversion share and massive performs. The mannequin discovered that the Seahawks outperformed the Patriots in three of the 5 classes.
For Chappidi, an avid soccer watcher, it was gratifying to use his pc science information to the sport.
“This assignment was incredibly fun and allowed me to view the Super Bowl through my lens, which is data and AI, and create a data-driven output to determine the outcome,” Chappidi stated.
