6
Mar
2020

The 14th Annual MIT Sloan Sports Analytics Conference

Annual Recap
Mar 6
-
Mar 7, 2020
Boston Convention and Exhibition Center
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2020

2020

Annual Recap

The 14th annual MIT Sloan Sports Analytics Conference will take place March 6-7 at the Boston Convention and Exhibition Center!  We are proud to continue the great tradition of bringing together the leading figures in sports analytics, business, and technology.

We look forward to seeing you in Boston in March 2020!  Check out the conference agenda to see what we have scheduled.

Speakers

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Dafna Aaronson

Performance & People Analytics Specialist

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J.A. Adande

Director of Sports Journalism Northwestern University

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Tj Adeshola

Head of U.S. Sports Twitter

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Kevin Arnovitz

NBA Writer, ESPN.com

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Saquon Barkley

Running Back, New York Giants

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Shane Battier

Vice President, Basketball Development & Analytics Miami Heat

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Howard Beck

Senior Writer, Bleacher Report

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Jason Bernard

Baseball Research and Development Manager MLB

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Matthew Berry

Senior Fantasy Sports Analyst ESPN

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Fiona Birch

Founder Pro Athlete Online

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Sue Bird

Point Guard, Seattle Storm

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Luke Bornn

Vice President, Strategy & Analytics Sacramento Kings

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Josh Brickman

VP Business Strategy Boston Bruins

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Mark Broadie

Professor Columbia Business School

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Sashi Brown

Chief Planning & Operations Officer, Monumental Sports & Entertainment

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Jaylen Brown

Professional Basketball Player, Boston Celtics

See Full List of Speakers

Events

Research Papers

High School Poster: A STARTING POINT FOR PREDICTING TEAM SUCCESS IN VOLLEYBALL

Brian Xu, The Kinkaid School, Student

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High School Poster: HOW THE “COLOMBIAN CANNONBALL” FINALLY BROKE THROUGH – ANALYZING THE 2018 BRITISH OPEN SQUASH CHAMPIONSHIP

Henry Serrano-Wu

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The right place at the right time: Advanced off-ball metrics for exploiting an opponent’s spatial weakenesses in soccer

Sergio Llana, Data Scientist, FC Barcelona
Pau Madrero, Data Scientist, FC Barcelona
Javier Fernández, Head of Sports Analytics, FC Barcelona

Download the Full Paper Here
Swing Shift: A Mathematical Approach to Defensive Positioning in Baseball

John M. Harris, Professor of Mathematics, Furman University
Elizabeth L. Bouzarth, Associate Professor of Mathematics, Furman University
Benjamin C. Grannan, Assistant Professor of Business and Accounting, Furman University
Andrew J. Hartley, Senior Mathematics Major, Furman University
Kevin R. Hutson, Professor of Mathematics, Furman University
Ella M. Morton, Senior Mathematics Major, Furman University

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Seeing in to the future: using self-propelled particle models to aid player decision-making in soccer

Francisco Peralta Alguacil: Football Data Scientist, Hammarby IF
Pablo Piñones Arce, Hammarby IF
David Sumpter, Professor of Applied Mathematics, Uppsala University
Javier Fernandez, Head of Sports Analytics, FC Barcelona

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Scoring a Touchdown with Variable Pricing Evidence from a Quasi-Experiment in the NFL Ticket Markets

Ovunc Yilmaz, Assistant Professor of IT, Analytics, and Operations, Mendoza College of Business, University of Notre Dame
Hayri Alper Arslan, Weatherall Postdoctoral Fellow, Department of Economics, Queen’s University
Necati Tereyagoglu, Assistant Professor of Management Science, Darla Moore School of Business, University of South Carolina

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Player Benchmarking and Outcomes: A Behavioral Science Approach

Ambra Mazzelli, MIT Sloan and Asia School of Business
Robert S. Nason, Concordia University

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PFF WAR: Modeling Player Value in American Football

Eric Eager, Pro Football Focus
George Chahrouri, Pro Football Focus

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Changing the Major League Baseball: A Whole New Ballgame

Meredith J. Wills, Contributor, The Athletic

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Bettor Up: Assess, Analyze, and Achieve

Clay Graham, Chief Analytical Architect, Advantage Analytics LLC
Candace Graham, President/Owner, Epic Win Group LLC
Sola Talabi, Lead Nuclear Engineer, Pittsburgh-Technical

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Accuracy and National Bias of Figure Skating Judges: The Good, the Bad and the Ugly

Vincent Dumoulin, Institute of Statistics, Université de Neuchâtel
Hugues Mercier, Institutes of Computer Science and Mathematics, Université de Neuchâtel

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Characterization of Space and Time-Dependence of 3-Point Shots in Basketball

Gabin Rolland, Research Assistant, LIRIS – École Centrale de Lyon
Romain Vuillemot, Assistant Professor, LIRIS – École Centrale de Lyon
Wouter Bos, PhD, CNRS – Ecole Centrale de Lyon
Nathan Rivière, Student, Ecole Centrale de Lyon

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Projecting NFL Potential from College Career Performance Curve

Brian Lehman, Co-Founder & VP Visionist, Inc.

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You Cannot Do That Ben Stokes: Dynamically Predicting Shot Type in Cricket Using a Personalized Deep Neural Network

Dr Will Gürpınar-Morgan, Senior Data Scientist, Stats Perform
Dr Daniel Dinsdale, Data Scientist, Stats Perform
Dr Joe Gallagher, Data Scientist, Stats Perform
Aditya Cherukumudi, Artificial Intelligence Scientist, Stats Perform
Dr Patrick Lucey, Chief Scientist, Stats Perform

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Running it Twice (or Thrice): Double-Header and Triple-Header Baseball Arbitration

Michael J. Hasday, Lecturer, DeSales University

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Pulling Starters

Daniel F. Stone, Associate Professor of Economics, Bowdoin College
Brian Mills, Associate Professor, Department of Kinesiology & Health Education, University of Texas at Austin
Duncan Finigan, Associate Product Manager, Toast/ Bowdoin College, 2018

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Player Chemistry: Striving for a Perfectly Balanced Soccer Team

Lotte Bransen, Lead Data Scientist at SciSports, Netherlands
Jan Van Haaren, Chief Product & Technology Officer at SciSports and Research Fellow at KU Leuven, Belgium

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NBA Lineup Analysis on Clustered Player Tendencies: A new approach to the positions of basketball & modeling lineup efficiency

Samuel Kalman, Purdue University Undergraduate
Jonathan Bosch, Syracuse University Undergraduate

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Measuring the Impact of Robotic Umpires

James Zhan, Undergraduate Student, Goergen Institute of Data Science, University of Rochester
John Polimeni, Undergraduate Student, Goergen Institute of Data Science, University of Rochester
Luke Gerstner, Undergraduate Student, Goergen Institute of Data Science, University of Rochester

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Learning Feature Representations from Football Tracking

Michael Horton, Machine Learning Researcher, Sportlogiq

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Extracting Player Tracking Data from Video Using Non-Stationary Cameras and a Combination of Computer Vision Techniques

Neil Johnson, Sports Analytics Developer, ESPN

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A No-Tanking Draft Allocation Policy

Evan Munro, PhD Student, Stanford University
Martino Banchio, PhD Student, Stanford University

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