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March 6, 2026
at
Menino Conference and Exhibition Center

The 20th Annual MIT Sloan Sports Analytics Conference

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Karim Kassam
Vice President of Product, Teamworks
karim-kassam
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Jeff Ma
Chief Digital Officer (Troon), Co-host of “Bet the Process"
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Devin Pleuler
Senior Director of Research and Development at Maple Leaf Sports & Entertainment
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Lou DePaoli
President of General Sports Worldwide
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Ben Alamar
Sports Analytics Author & Consultant
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Warren K. Zola
Executive Director, Boston College Chief Executives Club; Adjunct Faculty, Business Law & Society
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Paul Caine
President, On Location
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The Pitcher's Dilemma: A Game-Theoretical Model of Pickoffs and Stolen Bases
William Melville
Robert Greathouse
Tristan Mott
Christopher Archibald
David Grimsman
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William Melville
papers
Scouting Anyone: Probabilistic Player Archetypes for Any League
Sebastian Buzzalino
Thierry Aymerich
Marlin Myrte
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Sebastian Buzzalino
papers
Modern Playoff Tournament-Design Analysis across Sports: A Bayesian Modeling and Advanced Simulation Study
Hassan Rafique
Shane Sanders
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Hassan Rafique
papers
HoopEval: Individual Player Action Evaluation via Deep Reinforcement Learning
Xing Wang
Yu Fu
Sheng Xu
Konstantinos Pelechrinis
Mingxin Zhang
Miguel Ángel Gómez Ruano
Guiliang Liu
Shaoliang Zhang
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Xing Wang
papers
Going for Gold: Using Neuromuscular Skeletal Machine Learning Simulations to Predict Lower Extremity Performance in Track and Field Athletics
Dan Griffiths
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Dan Griffiths
papers
Fast Hybrid Search for Red-Zone Play Recommendations
Asad Khan
Arpan Bhattacharya
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Asad Khan
papers
Better Prevent than Tackle: Valuing Defense in Soccer Based on Graph Neural Networks
Hyunsung Kim
Sangwoo Seo
Hoyoung Choi
Tom Boomstra
Jinsung Yoon
Chanyoung Park
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Hyunsung Kim
papers
Wide Open Gazes: Quantifying Visual Exploratory Behavior in Soccer with Pose Enhanced Positional Data
Joris Bekkers
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Joris Bekkers
papers
Valuing La Pausa: Quantifying Optimal Pass Timing Beyond Speed
Minho Lee
Geonhee Jo
Miru Hong
Prof. Dr. Pascal Bauer
Prof. Sang-Ki Ko
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Minho Lee
papers
Tackling Causality: Estimating Frame-Level Defensive Impact with Multi-Agent Transformers
Ben Jenkins
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Ben Jenkins
papers
Interpretable Prediction and Large-Scale Analysis of Judging in Professional Boxing
Mason duBoef
Thomas Romeas
Mathieu Charbonneau
Allan Svejstrup
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Mason duBoef
papers
Deep Reinforcement Learning for NBA Player Valuation: A Temporal Difference Approach with Shapley Attribution
Ben Jenkins
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Ben Jenkins
papers
Characterizing and Controlling the Perceived Competitive Balance in Sports Leagues
Pedro Vaz-de-Melo
Estéfano Vassoler
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Pedro Vaz-de-Melo
papers
Can a Stadium Full of Monkeys Playing Strat-o-Matic Outmanage Earl Weaver? An empirical Bayesian Estimator of Manager Value
Dan M. Kahan
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Dan M. Kahan
papers
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