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March 6, 2026

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Menino Conference and Exhibition Center

The 20th Annual MIT Sloan Sports Analytics Conference

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Abe Madkour

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Better Prevent than Tackle: Valuing Defense in Soccer Based on Graph Neural Networks

Can a Stadium Full of Monkeys Playing Strat-o-Matic Outmanage Earl Weaver? An empirical Bayesian Estimator of Manager Value

Characterizing and Controlling the Perceived Competitive Balance in Sports Leagues

Deep Reinforcement Learning for NBA Player Valuation: A Temporal Difference Approach with Shapley Attribution

Fast Hybrid Search for Red-Zone Play Recommendations

Going for Gold: Using Neuromuscular Skeletal Machine Learning Simulations to Predict Lower Extremity Performance in Track and Field Athletics

HoopEval: Individual Player Action Evaluation via Deep Reinforcement Learning

Interpretable Prediction and Large-Scale Analysis of Judging in Professional Boxing

Modern Playoff Tournament-Design Analysis across Sports: A Bayesian Modeling and Advanced Simulation Study

Scouting Anyone: Probabilistic Player Archetypes for Any League

Tackling Causality: Estimating Frame-Level Defensive Impact with Multi-Agent Transformers

The Pitcher's Dilemma: A Game-Theoretical Model of Pickoffs and Stolen Bases

Valuing La Pausa: Quantifying Optimal Pass Timing Beyond Speed

Wide Open Gazes: Quantifying Visual Exploratory Behavior in Soccer with Pose Enhanced Positional Data

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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

William Melville

papers

Scouting Anyone: Probabilistic Player Archetypes for Any League

Sebastian Buzzalino

Thierry Aymerich

Marlin Myrte

Sebastian Buzzalino

papers

Modern Playoff Tournament-Design Analysis across Sports: A Bayesian Modeling and Advanced Simulation Study

Hassan Rafique

Shane Sanders

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

Xing Wang

papers

Going for Gold: Using Neuromuscular Skeletal Machine Learning Simulations to Predict Lower Extremity Performance in Track and Field Athletics

Dan Griffiths

Dan Griffiths

papers

Fast Hybrid Search for Red-Zone Play Recommendations

Asad Khan

Arpan Bhattacharya

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

Hyunsung Kim

papers

Wide Open Gazes: Quantifying Visual Exploratory Behavior in Soccer with Pose Enhanced Positional Data

Joris Bekkers

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

Minho Lee

papers

Tackling Causality: Estimating Frame-Level Defensive Impact with Multi-Agent Transformers

Ben Jenkins

Ben Jenkins

papers

Interpretable Prediction and Large-Scale Analysis of Judging in Professional Boxing

Mason duBoef

Thomas Romeas

Mathieu Charbonneau

Allan Svejstrup

Mason duBoef

papers

Deep Reinforcement Learning for NBA Player Valuation: A Temporal Difference Approach with Shapley Attribution

Ben Jenkins

Ben Jenkins

papers

Characterizing and Controlling the Perceived Competitive Balance in Sports Leagues

Pedro Vaz-de-Melo

Estéfano Vassoler

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

Dan M. Kahan

papers

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