2024 ANNUAL SHOWCASE

We are excited to announce our annual showcase schedule, which will feature 10 (!!) amazing sports analytics projects. Our showcase will take place on March 27th, from 6-9 pm at the Bahen Centre for Information Technology, at 40 St George St, Toronto, Ontario in room BA2145. The presentations are listed in order below:

SMT Data Challenge: This Isn’t a Stretch: Quantifying Ball Acquisition Proficiency to Evaluate Fielders on Assisted Put-Outs. This project won $1000 as winners of the Graduate Division. Authors: David Awosoga, Aaron White, Daniel Hocevar, Jaden Majumdar. University of Toronto, University of Waterloo.

2024 Big Data Cup: Zone Entries. Authors: Zeke Weng, Samarth Sharma, Daniel Du, Alexander Khan. University of Toronto

2024 NFL Big Data Bowl: Every Step You Take: Measuring A Defender’s Moves. This project won $5000 as runners-up! Authors: Hassaan Inayatali, Aaron White, Daniel Hocevar, Jaden Majumdar. University of Toronto.

2023 Linköping Hockey Analytics Conference: Comparing Defensive Pressures Using Possession Retention Probability and Expected Goals. This project was a finalist for the student competition! Authors: David Awosoga, Justin Cue, Aujin Li, Jaden Majumdar, Juno Wang. University of Toronto, University of Waterloo

NBA Player Scorecards. Author: Fauzan Lodi, University of Waterloo

Evaluating Player Influence in the National Hockey League using Player Puck Tracking DataAuthor: Hassaan Inayatali, University of Toronto.

NHL Positivity Index. Authors: Jacob Winch, Tanmay Munjal, Heiby Lau, Alexander Bradley, Yukesh Subedi, Arden Monaghan, William Luo. University of Alberta.

2024 NFL Big Data Bowl: Tackles Above Average. Authors: Jacob Winch, Colton Schneider, Siddhartha Chitrakar. University of Alberta.

2024 Big Data Cup: Special Teams. Authors: Victor Hau, Jason Alizadeh, Kishan Vethanayagam, Matthew Braho. University of Toronto.

2024 NFL Big Data Bowl: Tackle Redistribution: ‘T’ in Tackle is for Team. Author: Zeke Weng. University of Toronto.

While this is an in-person event, we plan to stream all presentations using the following Zoom link:

Zoom Link: https://utoronto.zoom.us/j/88541237672
Password: UTSPAN

2024 NFL BIG DATA BOWL PROJECTS

Congratulations to Hassaan Inayatali, Aaron White, Jaden Majumdar and Daniel Hocevar for finishing as a runner-up in the National Football League (NFL) Big Data Bowl, winning $5000 for their project. It can read from here: https://www.kaggle.com/code/hassaaninayatali/every-step-you-take-measuring-a-defender-s-moves 

Check out Zeke Weng’s NFL project, read from here: https://www.kaggle.com/code/zekeweng/tackle-redistribution-t-in-tackle-is-for-team

Yiru Wang, Navraj Brar’s NFL project, read from here: https://www.kaggle.com/code/yiruwang02/missed-opportunities-defining-and-assessing-misse

BRENDAN KUMAGAI – WINNING SUBMISSION FOR THE 2022 BIG DATA DERBY

Wednesday, January 17th, 2024, 7pm EST

BRENDAN KUMAGAI (Data Scientist in Zelus Analytics’ Hockey Research & Development team)

Check out his winning submission:

https://www.kaggle.com/code/bkumagai/bayesian-velocity-models-for-horse-race-simulation