Wednesday, Mar 20th , 2024 8pm-9pm EDT
Hassaan Inayatali
Resources:
Wednesday, Mar 20th , 2024 8pm-9pm EDT
Hassaan Inayatali
Resources:
Wednesday, Mar 13th , 2024 8pm-9pm EST
Jaden Majumdar
Resources:
https://drive.google.com/file/d/1yq7y3LclUR4XB5uVnFfil82kXkTmLcl6/view?usp=sharing
and https://drive.google.com/file/d/17avHxCNfkjjt0e5XHkg6dGelmJ0uSNLc/view?usp=sharing
Wednesday, Mar 6th , 2024 8pm-9pm EST
Daniel Hocevar
Resources:
https://colab.research.google.com/drive/1R-z16sabX1gOx24ieIZ9rLcSusl48rQp?usp=sharing
Members of the UTSPAN community got together for our largest showcase ever to present captivating sports analytics projects that they have been working on.
Our showcase took 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 that occurred are listed 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 Data. Author: 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.
Wednesday, Feb 28th , 2024 8pm-9pm EST
Aaron White
Resources:
https://colab.research.google.com/drive/1SmQSABg5IDG269syL_2pwM86axClT8ty?usp=sharing
Wednesday, Feb 14th , 2024 8pm-9pm EST
Hassaan Inayatali
Resources:
https://github.com/hinayatali9/SSAC_2021/blob/main/Draft_Trades_Analysis.ipynb
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
Wednesday, Feb 7th, 2024 8pm-9pm EST
Ethan Baron
Resources:
Wednesday, Jan 31st , 2024 8pm-9pm EST
Hassaan Inayatali
Resources:
https://colab.research.google.com/drive/13grnTJeeL9EMUaIiUr4yDUM0JvTzmnFf#scrollTo=92HJVFoTlU9J
Wednesday, Jan 24th , 2024 8pm-9pm EST
Jaden Majumdar
Resources:
https://colab.research.google.com/drive/1yJAGSbvaQAythlpC3HB5_ArA5YgOAzgJ?usp=sharing
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