2023 Linköping Hockey Analytics Conference Student Competition

Congratulations to UTSPAN members David AwosogaJustin CuiAujin L.Jaden Majumdar, and Junhao Wang for being selected as finalists for the 2023 Linköping Hockey Analytics Conference Student Competition!

They will present their submission, titled “Comparing Defensive Pressures Using Possession Retention Probability and Expected Goals”, at the Linköping Hockey Analytics Conference this June, held at Linköping University in Linköping, Sweden!

Their work develops a possession-based event valuation framework to contrast the impact of stick checks, body checks, and puck protections on scoring chances. Check it out here.

2023 Big Data Bowl

Congratulations to UTSPAN executives Hassaan InayataliDaniel Hocevar, and Aaron White on being named the overall champion for the 2023 Big Data Bowl!

Their submission develops a new way to measure pressure on the quarterback over the course of a football play using player tracking data. Check out their work at https://www.kaggle.com/code/hassaaninayatali/between-the-lines-how-do-we-measure-pressure.

The group presented their submission at the NFL Scouting Combine in Indianapolis on March 1st and have won $30,000 in prize money for winning!

The Big Data Bowl, hosted each year by the NFL on Kaggle, is arguably the world’s most prestigious sports analytics competition. UTSPAN’s submission was included among 8 finalists from almost 300 submissions!

2023 Syracuse University Basketball Analytics Competition

Hayden Groer, Bhanu Mamillapalli, Daniel Lim, Siddhi Bansal, and Adam Mainella entered the 2023 Syracuse University Basketball Analytics Competition. They were given just 1 week to craft a presentation on their analysis of the best way to defend the 2022 NBA Champion Golden State Warriors. They competed against other groups from American universities and were judged by high-level basketball analytics minds.

2022 Big Data Cup

Congratulations to team members Ethan BaronDaniel HocevarKabir Malik, and Aaron White for winning first place in the undergraduate category of the 2022 Big Data Cup, a hockey datathon hosted by Stathletes and CANSSI!

Their submission, titled “RIPP: Holistic Player Evaluation with Region-Based Isolated Player Performance,” presents a method to evaluate women’s hockey players using play-by-play data.

Check out their talk at https://www.youtube.com/watch?v=QcfcsO8A3k0.