3
Mar
2023

The 17th Annual MIT Sloan Sports Analytics Conference

2023

2023

SLOAN SPORTS ANALYTICS CONFERENCE

Speakers

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Sezin Aksoy

Senior Vice President, Global Data Strategy & Analytics, AXS

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Ben Alamar

Sports Analytics Author & Consultant

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Michael Albert

Assistant professor of Quantitative Analysis, University of Virginia Darden School of Business

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Renie Anderson

Chief Revenue Officer and Executive Vice President, NFL Partnerships, NFL

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Alex Baldwin

President, Korn Ferry Tour

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Shane Battier

Investor, Founder of The Battier Take Charge Foundation, 2x NBA Champion with Miami Heat

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Billy Bean

SVP | Diversity, Equity & Inclusion & Special Assistant to the Commissioner, Major League Baseball (MLB)

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Jonathan Beane

Senior Vice President, Chief Diversity & Inclusion Officer, NFL

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Matthew Benham

Owner, Brentford FC and Majority Owner, FC Midtjylland

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Jessica Berman

Commissioner, National Women’s Soccer League

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Sue Bird

WNBA Champion and Olympic Gold Medalist, Co-Founder of A Touch More and Togethxr

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Johanna Boynton

Chair and Principal Owner, Toronto Six (PHF)

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Contessa Brewer

Correspondent, CNBC

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Mark Broadie

Carson Family Professor of Business, Columbia Business School

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Anthony Brock

Director of Business Analytics, Indiana Pacers

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Olav Aleksander Bu

Co-Founder, Head of Performance for Norway Triathlon, Santara Technology

See Full List of Speakers

Events

Research Papers

A Game Theoretical Approach to Optimal Pitch Sequencing

William Melville, Jesse Melville, Theo Dawson, Delma Nieves-Rivera, Christopher Archibald, David Grimsman

Download the Full Paper Here
A Graph Neural Network deep-dive into successful counterattacks

Amod Sahasrabudhe, Joris Bekkers

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Competitive Balance in Professional Sports: A Multidimensional Perspective

Levi Bognar, Scott A. Brave, R. Andrew Butters, Kevin A. Roberts

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Correcting for preferential bias in NFL fourth-down decision making

Daniel Daly-Grafstein

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Estimating Positional Plus-Minus in the NBA

Hua Gong, Su Chen

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Explainable Defense Coverage Classification in NFL Games using Deep Neural Networks

Huan Song, Mohamad Al Jazaery, Haibo Ding, Lin Lee Cheong, Kyeong Hoon (Jonathan) Jung, Mike Band

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Fair and Efficient Ranking in Incomplete Tournaments

Fernando Leiva Bertran

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Learning Contextual Event Embeddings to Predict Player Performance in the MLB

Connor Heaton, Prasenjit Mitra,

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Mining football players' behavioral profile: identifying candidate proxy features from event data.

Luis Meireles, Tiago Mendes-Neves, João Mendes-Moreira

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Player Tracking Facilitates Valid Causal Inference: The Average Treatment Effect of Defender Proximity on Scoring

Matthew S. Tenan, Ali R. Rezai

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Reconstruction of Trajectories of Athletes Using Computer Vision Models and Kinetic Analysis

Qi Gan, Sao Mai Nguyen, Stephan Clémençon, Mounim A. El-Yacoubi, Ons Jelassi

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Robust Daily Fantasy Sports: Maximizing Reward via the Robust Optimization Paradigm

Dubem Mbeledogu

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Thinking the GOAT: Imitating Tennis Styles

Padmanaba Srinivasan, Raghavan Subramanian, William Knottenbelt,

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cricWAR: A reproducible system for evaluating player performance in limited-overs cricket

Hassan Rafique

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Sponsors