David Radke – Presenting Multiagent Challenges in Team Sports Analytics

Wednesday, November 15th, 2023, 7pm EST


Check out the slides from the seminar:


Multiagent systems is a sub-field of artificial intelligence (AI) concerned with how multiple agents interact in an environment. In the first part of this talk, Dr. David Radke presented methods to characterize the available passing space between any two players using NHL puck and player tracking data. In the second part of this talk, Dr. David Radke discussed some of the ways researchers anticipate multiagent systems will be used to revolutionize team sports analytics in sports classified as “invasion games” (i.e., ice hockey, basketball, and soccer). Success in invasion game sports requires high degrees of inter-player coordination and cooperation. Dr. David Radke made connections between areas of research in multiagent systems and existing problems in team sports analytics, and in turn, show how sports will help drive multiagent systems research forward.

2023 SMT (SportsMEDIA Technology) Data Challenge Sports Analytics Conference

Congratulations to UTSPAN members David Awosoga, Daniel Hocevar, Jaden Majumdar, and Aaron White on being named winners of the graduate student division of the 2023 SMT Data Challenge after their presentation at the Carnegie Mellon Sports Analytics Conference on November 11th.

Their submission develops a framework to evaluate catch difficulty on throws to first base. Check out their work at https://github.com/danielhocevar/SMT-Baseball-2023

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.

UTSPAN Hour #26: Panel Data Regression to Project NBA Player Performance

Wednesday, March 15, 2023 8pm EST
Ismail Benchekroun


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 Annual Showcase

Members of the UTSPAN community got together to present captivating sports analytics projects that they have been working on.

The program was:

6:10pm – 6:30pm
Hayden Groer, Bhanu Mamillapalli, Daniel Lim, Siddhi Bansal, Adam Mainella
A Metric-Driven Analysis of Defending the Golden State Warriors
Submitted to the 2023 Syracuse University Basketball Analytics Competition

6:30pm – 7:00pm
Hassaan Inayatali, Daniel Hocevar, Aaron White
Between the Lines: How Do We Measure Pressure in the NFL?
Finalist for the 2023 NFL Big Data Bowl ($10,000 prize money)

7:00pm – 7:15pm

7:15pm – 7:40pm
David Awosoga, University of Waterloo
Beyond the Boxscore: Applications of Team and Individual Performance Evaluation Metrics in U SPORTS Basketball
Undergraduate thesis, University of Lethbridge

7:40pm – 8:00pm
Aaron White, Ethan Baron, (Daniel Hocevar, Kabir Malik)
RIPP: Holistic Player Evaluation with Region-Based Isolated Player Performance
Winner of the undergraduate category at the 2022 Big Data Cup ($1,000 prize money)

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.