CASSIS

Program

The program consists of a keynote presentation by Dan Cervone and 13 technical presentations. Throughout the program, posters will be on display. Note the exact ordering and times below are subject to change.

Schedule
• 8:30am: Registration
• 9:00am: Introduction
• 9:05am: Session 1: Tracking and In-Game Data - Football and Tennis
• Ben Jenkins
  CLIPP: CausaL Impact of Offensive Linemen on Pass Plays
• Ron Yurko, Ruitong Jiang, Meg Ellingwood, Quang Nguyen
  Momentum Interference: A Hierarchical Framework for Modeling Tackling Ability in American Football
• Nate Sandholtz, Stephanie Kovalchik
  Investigating the Spatial Component of Serving Strategies in Tennis
• Nirodha Epasinghege Dona
  Two Problems in Tennis Analytics
• 10:35am: Coffee/Poster Break
• 11:15am: Session 2: Outcomes Modeling
• Jackson Lautier
  A New Framework to Estimate Return on Investment for Player Salaries in the National Basketball Association
• Morgan Kurth
  Predicting Wins in the National Hockey League
• Rouven Michels
  Modelling women’s soccer scores with bivariate distributions from the Sarmanov family
• 12:20pm: Lunch
• 1:30pm: Session 3: Baseball
• Jacob Hahn, Scott Powers, Mallesh Pai, Andrew Schaefer
  The Two-Foot Rule: A game theoretic analysis of the pickoff limit in Major League Baseball
• Scott Powers, Ron Yurko
  Swinging, Fast and Slow: Untangling intention and timing error from bat speed and swing length in Major League Baseball
• Riley Leonard
  Behavioral Baseball: Identifying Cognitive Biases in Player Swing Decisions
• 2:35pm: Coffee/Poster Break
• 3:15pm: Session 4: Keynote Presentation
• Dan Cervone
  The Mahomes Test: Model Validation for Front Office Decision-Making
• 4:15pm: Session 5: Tracking and In-Game Data — Other Sports
• Tianyu Guan
  Soccer Analytics Using Event Data and Tracking Data
• Shunsuke Iwashita, Atom Scott, Rikuhei Umemoto, Ning Ding, Keisuke Fujii
  Space evaluation based on pitch control using drone video in Ultimate
• Robert Mackowiak, Celeste Wilkins, Sreekar Voleti, Megan McAllister
  Variability-Assessed Shooting Tolerance (VAST): A Biomechanical Complement to Traditional Shooting Analytics
• 5:20pm: Closing Remarks

Poster Presentations

• David Awosoga, Matthew Chow
  A Matter of Survival: Using Censored Regression to Analyze Athlete Peak Performances
• Rory Breslin, Alexander Schram
  Capturing Physical Performance in One Metric: Introducing PFF FC's Soccer Athleticism Score
• Miranda Byrd
  The Power of Attention in NBA Player and Team Forecasting
• Aaron Foote
  A Conditional Density Approach to Run Defense Attribution in Football
• Adam Gee, Sydney Seese, Owen Ward, James Curley
  Using Bayesian Hierarchical Modeling to Assess the Role of Past Performance on Future Performance in Online Chess
• Torsten Maier
  Standardized Scoring Variability: A Way of Incorporating Variance in Basketball Analytics
• Connor Pestell
  She Shoots, She Scores: Can NHL Metrics Predict PWHL Success?
• Hassan Rafique, Sanvesh Srivastava, Kirtikanth Kalapatapu
  Beat the Market: Projecting player performance across leagues
• Tessa Reimer, Alexandre Leblanc, Saman Muthukumarana
  Bayesian Inference on Baseball Batting Metrics Using Nested Dirichlet Multinomial Models
• Calvin Ristad, Eric Ristad
  Powerpointing the NJ State High School Swim Tournament
• Robyn Ritchie, Thomas Loughin, Alexandre LeBlanc
  Curling Analytics
• Michael Schuckers et al.
  SCORE (Sports Content for Outreach, Research and Education) Network Update
• Elizabeth Sepulveda, Michael McClellan, Scott Powers
  A Statistical Approach to Sport Climbing Difficulty and Progression
• Andrey Skripnikov, Ahmet Cemek, David Gillman
  Statistical Adjustment for ’Prevent Defense’ When Evaluating Team's Offensive Output in Soccer
• Joshua Smith, Carl Kuschke, Aymen Rumi, Chase Shimmin
  Telegraph Delivery - Learning to Hide Intention in Tennis
• Koi Stephanos
  Deciphering NBA Game 'Personality' Clusters: An Exploration of Success Factors
• Alex Veroulis
  On the Move: An Analysis of Player Tracking Data to Evaluate Offensive Line Play in the National Football League
• Xing Wang, Konstantinos Pelechrinis, Yu Fu, Chunyang Huang, Jianchong Shao, Zitian Tang, Miguel Gomez, Shaoliang Zhang
  HoopPad: A Controlled Defense Simulation with masking prompt
• Jacob Winch, Tanmay Munjal, Heiby Lau, Alexander Bradley, Arden Monaghan, Yukesh Subedi
  NHL Positivity Index: Quantifying NHL Fanbase Sentiment Using Natural Language Processing
• Julian Zapata-Hall
  College Basketball: An In-depth Study of the “Foul Up 3” Dilemma