Fast Data and Sports How Sports Data Is Reshaping How We Look at the World Topics • Data Ownership V
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Miguel Velez – Ph.D. Student in Software Engineering
Carnegie Mellon University School of Computer Science Miguel Velez Institute for Software Research B mvelezce [at] cs.cmu.edu Í http://www.cs.cmu.edu/~mvelezce/ Ph.D. Student in Software Engineering miguelvelezmj25 "I never want to reach the point in my life where I’ve already done the most epic thing I will ever do" -Anonymous Education 2016 - Present Doctor of Philosophy in Software Engineering, Carnegie Mellon University, Pittsburgh, PA, USA Advisor: Christian Kästner. Thesis Topic: White-Box Performance Analysis of Configurable Systems. (Expected Graduation: Fall 2021) 2016 - 2020 Master of Software Engineering, Carnegie Mellon University, Pittsburgh, PA, USA 2010 - 2015 Bachelor of Arts in Computer Science, University of St. Thomas, St. Paul, MN, USA Summa Cum Laude. Physics minor. Major and Minor GPA: 4.00/4.00. Cumulative GPA: 3.99/4.00. Advisor: Patrick Jarvis. Summa Cum Laude paper: “Current and Future Relationships Between Robots and Humans” Industry Experience Full-time 2016 Application Developer/Software Engineer, Sportradar US, Minneapolis, MN, USA Developed a Ruby ETL application that provided data for the NFL Radar360 research tool Internships Summer 2021 Software Engineering Intern, Google, Remote, USA Designed and implemented a CLI/REPL to iteratively explore various performance regression analyzers Summer 2020 Software Engineering Intern, Google, Remote, USA Collected and surfaced metrics corresponding to RPC behavior during integration tests Summer 2019 Software Engineering Intern, Google, Sunnyvale, CA, USA Designed and implemented a data federation GraphQL layer in CDAP/Cloud Data Fusion Summer 2018 Software Engineering Intern, Google, Mountain View, CA, USA Improved Suggest’s ranking of contact actions in the Android Google Search App Fall 2015 Application Developer/Software Engineer, Sportradar US, Minneapolis, MN, USA Built a Ruby monitoring application to parse and build Formula 1 feeds Spring 2015 Jr. -
Making It Pay to Be a Fan: the Political Economy of Digital Sports Fandom and the Sports Media Industry
City University of New York (CUNY) CUNY Academic Works All Dissertations, Theses, and Capstone Projects Dissertations, Theses, and Capstone Projects 9-2018 Making It Pay to be a Fan: The Political Economy of Digital Sports Fandom and the Sports Media Industry Andrew McKinney The Graduate Center, City University of New York How does access to this work benefit ou?y Let us know! More information about this work at: https://academicworks.cuny.edu/gc_etds/2800 Discover additional works at: https://academicworks.cuny.edu This work is made publicly available by the City University of New York (CUNY). Contact: [email protected] MAKING IT PAY TO BE A FAN: THE POLITICAL ECONOMY OF DIGITAL SPORTS FANDOM AND THE SPORTS MEDIA INDUSTRY by Andrew G McKinney A dissertation submitted to the Graduate Faculty in Sociology in partial fulfillment of the requirements for the degree of Doctor of Philosophy, The City University of New York 2018 ©2018 ANDREW G MCKINNEY All Rights Reserved ii Making it Pay to be a Fan: The Political Economy of Digital Sport Fandom and the Sports Media Industry by Andrew G McKinney This manuscript has been read and accepted for the Graduate Faculty in Sociology in satisfaction of the dissertation requirement for the degree of Doctor of Philosophy. Date William Kornblum Chair of Examining Committee Date Lynn Chancer Executive Officer Supervisory Committee: William Kornblum Stanley Aronowitz Lynn Chancer THE CITY UNIVERSITY OF NEW YORK I iii ABSTRACT Making it Pay to be a Fan: The Political Economy of Digital Sport Fandom and the Sports Media Industry by Andrew G McKinney Advisor: William Kornblum This dissertation is a series of case studies and sociological examinations of the role that the sports media industry and mediated sport fandom plays in the political economy of the Internet. -
Sports Analytics Algorithms for Performance Prediction
Sports Analytics Algorithms for Performance Prediction Paschalis Koudoumas SID: 3308190012 SCHOOL OF SCIENCE & TECHNOLOGY A thesis submitted for the degree of Master of Science (MSc) in Data Science JANUARY 2021 THESSALONIKI – GREECE -i- Sports Analytics Algorithms for Performance Prediction Paschalis Koudoumas SID: 3308190012 Supervisor: Assoc. Prof. Christos Tjortjis Supervising Committee Mem- Assoc. Prof. Maria Drakaki bers: Dr. Leonidas Akritidis SCHOOL OF SCIENCE & TECHNOLOGY A thesis submitted for the degree of Master of Science (MSc) in Data Science JANUARY 2021 THESSALONIKI – GREECE -ii- Abstract This dissertation was written as a part of the MSc in Data Science at the International Hellenic University. Sports Analytics exist as a term and concept for many years, but nowadays, it is imple- mented in a different way that affects how teams, players, managers, executives, betting companies and fans perceive statistics and sports. Machine Learning can have various applications in Sports Analytics. The most widely used are for prediction of match outcome, player or team performance, market value of a player and injuries prevention. This dissertation focuses on the quintessence of foot- ball, which is match outcome prediction. The main objective of this dissertation is to explore, develop and evaluate machine learning predictive models for English Premier League matches’ outcome prediction. A comparison was made between XGBoost Classifier, Logistic Regression and Support Vector Classifier. The results show that the XGBoost model can outperform the other models in terms of accuracy and prove that it is possible to achieve quite high accuracy using Extreme Gradient Boosting. -iii- Acknowledgements At this point, I would like to thank my Supervisor, Professor Christos Tjortjis, for offer- ing his help throughout the process and providing me with essential feedback and valu- able suggestions to the issues that occurred. -
Open Evan Bittner Thesis.Pdf
THE PENNSYLVANIA STATE UNIVERSITY SCHREYER HONORS COLLEGE DEPARTMENT OF STATISTICS PREDICTING MAJOR LEAGUE BASEBALL PLAYOFF PROBABILITIES USING LOGISTIC REGRESSION EVAN J. BITTNER FALL 2015 A thesis submitted in partial fulfillment of the requirements for a baccalaureate degree in Statistics with honors in Statistics Reviewed and approved* by the following: Andrew Wiesner Lecturer of Statistics Thesis Supervisor Murali Haran Associate Professor of Statistics Honors Adviser * Signatures are on file in the Schreyer Honors College. i ABSTRACT Major League Baseball teams are constantly assessing whether or not they think their teams will make the playoffs. Many sources publish playoff probabilities or odds throughout the season using advanced statistical methods. These methods are somewhat secretive and typically advanced and difficult to understand. The goal of this work is to determine a way to calculate playoff probabilities midseason that can easily be understood and applied. The goal is to develop a method and compare its predictive accuracy to the current methods published by statistical baseball sources such as Baseball Prospectus and Fangraphs. ii TABLE OF CONTENTS List of Figures .............................................................................................................. iii List of Tables ............................................................................................................... iv Acknowledgements ..................................................................................................... -
Sabermetrics Over Time: Persuasion and Symbolic Convergence Across a Diffusion of Innovations
SABERMETRICS OVER TIME: PERSUASION AND SYMBOLIC CONVERGENCE ACROSS A DIFFUSION OF INNOVATIONS BY NATHANIEL H. STOLTZ A Thesis Submitted to the Graduate Faculty of WAKE FOREST UNIVERSITY GRADUATE SCHOOL OF ARTS AND SCIENCES in Partial Fulfillment of the Requirements for the Degree of MASTER OF ARTS Communication May 2014 Winston-Salem, North Carolina Approved By: Michael D. Hazen, Ph. D., Advisor John T. Llewellyn, Ph. D., Chair Todd A. McFall, Ph. D. ii Acknowledgments First and foremost, I would like to thank everyone who has assisted me along the way in what has not always been the smoothest of academic journeys. It begins with the wonderful group of faculty I encountered as an undergraduate in the James Madison Writing, Rhetoric, and Technical Communication department, especially my advisor, Cindy Allen. Without them, I would never have been prepared to complete my undergraduate studies, let alone take on the challenges of graduate work. I also want to thank the admissions committee at Wake Forest for giving me the opportunity to have a graduate school experience at a leading program. Further, I have unending gratitude for the guidance and patience of my thesis committee: Dr. Michael Hazen, who guided me from sitting in his office with no ideas all the way up to achieving a completed thesis, Dr. John Llewellyn, whose attention to detail helped me push myself and my writing to greater heights, and Dr. Todd McFall, who agreed to assist the project on short notice and contributed a number of interesting ideas. Finally, I have many to thank on a personal level. -
Changing Baseball Forever Jake Sumeraj College of Dupage
ESSAI Volume 12 Article 34 Spring 2014 Changing Baseball Forever Jake Sumeraj College of DuPage Follow this and additional works at: http://dc.cod.edu/essai Recommended Citation Sumeraj, Jake (2014) "Changing Baseball Forever," ESSAI: Vol. 12, Article 34. Available at: http://dc.cod.edu/essai/vol12/iss1/34 This Selection is brought to you for free and open access by the College Publications at DigitalCommons@COD. It has been accepted for inclusion in ESSAI by an authorized administrator of DigitalCommons@COD. For more information, please contact [email protected]. Sumeraj: Changing Baseball Forever Changing Baseball Forever by Jake Sumeraj (Honors English 1102) idden in the back rooms of any modern major league baseball franchise are a select few individuals that are drastically changing the way teams operate. Using numbers and Hborderline obsessive tracking of each player’s every move, they see things that elude the everyday baseball fan. These are the baseball analysts. Although they do the research that can potentially decide which player becomes the face of the team, these analysts can likely walk the city streets without a single diehard fan knowing who they are. Baseball analysts get almost zero publicity. However, their work is clearly visible at any baseball game. A catcher’s decision to call for a 2-0 curveball to a power hitter, the manager’s choice to continuously play a hitter that’s only batting 0.238, and a defensive shift to the left that leaves the entire right side of the infield open are all moves that are the result of research done by analysts. -
The Shrinkage of the Pythagorean Exponents
Journal of Sports Analytics 2 (2016) 37–48 37 DOI 10.3233/JSA-160017 IOS Press The Shrinkage of the Pythagorean exponents John Chena,∗ and Tengfei Lib aKing George V School, 2 Tin Kwong Road, Homantin, Kowloon, Hong Kong bDepartment of Biostatistics, CB# 7420, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Abstract. The Pythagorean expectation is a formula designed by Bill James in the 1980s for estimating the number of games that a baseball team is expected to win. The formula has since been applied in basketball, hockey, football, and soccer. When used to assess National Basketball Association (NBA) teams, the optimal Pythagorean exponent is generally believed to be between 14 and 17. In this study, we empirically investigated the accuracy of the formula in the NBA by using data from the 1993-1994 to 2013-2014 seasons. This study confirmed the results of previous studies, which found that the Pythagorean exponent is slightly higher than 14 in the fit scenario, in which the strengths and winning percentage of a team are calculated using data from the same period. However, to predict future winning percentages according to the current evaluations of team strengths, the optimal Pythagorean exponent in the prediction scenario decreases substantially from 14. The shrinkage factor varies from 0.5 early in the season to nearly 1 toward the end of the season. Two main reasons exist for the decrease: the current evaluated strengths correlate with the current winning percentage more strongly than they do with the future winning percentage, and the scales of strengths evaluated in the early or middle part of a season tend to exceed those evaluated at the end of the season because of the evening out of randomness or the law of averages. -
Spring 2021 1
CLASS NOTES ALUMNI highlights 3 1 2 5 4 6 Our alumni have incredible stories and milestones to share. Here are a few highlights from Class Notes. 7 8 1 Paul Mraz ’89 is senior vice president of OrthoPediatrics Corp. 5 Amanda Andersen Gujral ’09 and Amar Gujral ’09 and general manager of ApiFix Ltd., a medical device company have co-founded Minds Matter Houston, a nonprofit that connects commercializing a unique motion-preserving scoliosis correction students from low-income families with the people, preparation, technology treatment. and possibilities to succeed in college. 2 Paul Casalaspi ’84 is director of IT at the Library of Virginia. 6 Mira van Roon Brand ’92 opened a photography business He has shared a photo of him and his colleague Kathy Stewart specializing in photographing wildlife, landscapes, flowers, and Jordan ’91 wearing their Pard Pride. Kathy is director of digital the night sky. initiatives and web presence. 7 Rich Howden ’84 is currently launching a new venture, 3 Marijeanne Seeley Carino ’85 had her Montclair, N.J., home Swiss Cocktails LLC, which features a line of pre-mixed cocktails. featured on the cover of The New York Times real estate section, thanks to her and her son’s love of lights and holiday lighting. 8 Eileen Murray ’93, associate professor at Montclair State University, took a leave of absence to work as the director of strategic initiatives 4 Susan Barnes Carras ’76 was recognized by Connect Media at Math for America (MÆ’A), a nonprofit that provides four-year as one of the 2020 Women in Real Estate Award winners for her fellowships for accomplished public school mathematics and expertise in leading debt and equity transactions as well as having science teachers. -
Major Qualifying Project: Advanced Baseball Statistics
Major Qualifying Project: Advanced Baseball Statistics Matthew Boros, Elijah Ellis, Leah Mitchell Advisors: Jon Abraham and Barry Posterro April 30, 2020 Contents 1 Background 5 1.1 The History of Baseball . .5 1.2 Key Historical Figures . .7 1.2.1 Jerome Holtzman . .7 1.2.2 Bill James . .7 1.2.3 Nate Silver . .8 1.2.4 Joe Peta . .8 1.3 Explanation of Baseball Statistics . .9 1.3.1 Save . .9 1.3.2 OBP,SLG,ISO . 10 1.3.3 Earned Run Estimators . 10 1.3.4 Probability Based Statistics . 11 1.3.5 wOBA . 12 1.3.6 WAR . 12 1.3.7 Projection Systems . 13 2 Aggregated Baseball Database 15 2.1 Data Sources . 16 2.1.1 Retrosheet . 16 2.1.2 MLB.com . 17 2.1.3 PECOTA . 17 2.1.4 CBS Sports . 17 2.2 Table Structure . 17 2.2.1 Game Logs . 17 2.2.2 Play-by-Play . 17 2.2.3 Starting Lineups . 18 2.2.4 Team Schedules . 18 2.2.5 General Team Information . 18 2.2.6 Player - Game Participation . 18 2.2.7 Roster by Game . 18 2.2.8 Seasonal Rosters . 18 2.2.9 General Team Statistics . 18 2.2.10 Player and Team Specific Statistics Tables . 19 2.2.11 PECOTA Batting and Pitching . 20 2.2.12 Game State Counts by Year . 20 2.2.13 Game State Counts . 20 1 CONTENTS 2 2.3 Conclusion . 20 3 Cluster Luck 21 3.1 Quantifying Cluster Luck . 22 3.2 Circumventing Cluster Luck with Total Bases . -
Download a Copy of the 2019 Basketball Career Conference
“To Catch a Foul Ball SMWW You Need a Ticket to the Game” - Dr. G. Lynn Lashbrook Basketball Career Conference July 6-7, 2019 The Global Leader in Sports Business Education | SMWW.com The Global Leader in Sports Education | USA & Canada 503-445-7105 | UK +44(0) 871-288-4799 | SMWW.com BASKETBALL CAREER CONFERENCE AGENDA SMWW SUCCESS STORIES Saturday, July 6th - SMWW Welcome Reception Over 15,000 graduates working in over a 160 countries! John Ross, Portland Trail Blazers Michael Gershon Keystone Ice Miners Brian Graham, National Scouting Report 5:00-7:00pm SMWW Welcome Reception with cocktails and hors’d’oeuvres Mark Warkentien, New York Knicks Travis Gibson Champion Hockey Brian Orth, Cloverdale Minor Hockey Association Alexa Atria, New York Yankees Frank Gilberti Chatham High School Brian Gioia, Chicago Bulls at Bahama Breeze, 375 Hughes Center Dr, Las Vegas, NV 89109 Simon Barrette Columbus Blue Jackets Bob Gillen Yellowstone Quake Brian Adams, Boston Celtics Sunday, July 7th - SMWW Career Conference Paul Epstein, San Francisco 49ers Jessica Gillis Hockey New Brunswick Chad Pennick, Denver Nuggets Demetri Betzios, Toronto Argonauts Tony Griffo London Knights Chris Cordero, Miami Heat Four Seasons Hotel, 3960 S Las Vegas Blvd, Las Vegas, NV 89119 Andre Sherard, Sporting Kansas City Mario Guido Rinknet Christian Alicpala, Toronto Raptors Taylore Scott, Dallas Cowboys Brian Guindon HockeyTwentyFourSeven Christian Stoltz, USAL Rugby Alireza Absalan, FIFA Agent Aaron Guli President Irish Ice Hockey Association Christian Payne, Dickinson -
Baseball Prospectus – Escaping Bill James’ Shadow ...James Fraser
By the Numbers Volume 10, Number 2 The Newsletter of the SABR Statistical Analysis Committee May, 2000 Welcome Phil Birnbaum, Editor Welcome to the May BTN. Thanks to Rob Wood, Clifford Blau, your help. Hope you enjoy the issue, and please contact our James Fraser, and Tom Hanrahan for their time, effort, and contributors if you liked their work. Deadline for contributions contribution. Thanks also to the anonymous peer reviewers for for next issue is July 24. A Brief Review of “Defense Independent Pitching Stats” Clifford Blau One of the most interesting articles I have read recently is correlation with the following season’s ERA than does the entitled “Defense Independent Pitching Stats, “ which was current season’s ERA, or component ERA (essentially ERA written by Voros McCracken. It can be found on the Internet at calculated using a runs predictor formula.) http://www.baseballstuff.com/fraser/articles/dips.html. Some I recommend it be read comments on by all. the article: A In this issue better test To summarize this and a would involve follow up article, Mr. A Brief Review of “Defense Independent a park- McCracken states that Pitching Stats” ..............................Clifford Blau.......................1 adjusted rate. the ratio of hits allowed News on the SABR Publication Front ........................Neal Traven.........................3 Also, the by pitchers to balls in Baseball Prospectus – Escaping Bill James’ Shadow ...James Fraser........................4 discussion on play is not a skill. “Best Teams” Logic Flawed..........................................Clifford Blau.......................6 the posting Specifically, he shows Probability of Performance – A Comment....................Rob Wood...........................7 board included that the correlation of Clutch Teams in 1999 ..................................................Tom Hanrahan ..................12 a consideration this ratio from one year How Often Does the Best Team Win the Pennant?.......Rob Wood.........................15 of career to another is so low that numbers. -
Volume 5 | Issue 2
ARIZONA STATE SPORTS AND ENTERTAINMENT LAW JOURNAL VOLUME 5 SPRING 2016 ISSUE 2 SANDRA DAY O’CONNOR COLLEGE OF LAW ARIZONA STATE UNIVERSITY 111 EAST TAYLOR STREET PHOENIX, ARIZONA 85004 ABOUT THE JOURNAL The Arizona State Sports and Entertainment Law Journal is edited by law students of the Sandra Day O’Connor College of Law at Arizona State University. As one of the leading sports and entertainment law journals in the United States, the Journal infuses legal scholarship and practice with new ideas to address today’s most complex sports and entertainment legal challenges. The Journal is dedicated to providing the academic community, the sports and entertainment industries, and the legal profession with scholarly analysis, research, and debate concerning the developing fields of sports and entertainment law. The Journal also seeks to strengthen the legal writing skills and expertise of its members. The Journal is supported by the Sandra Day O’Connor College of Law and the Sports Law and Business Program at Arizona State University. WEBSITE: www.asuselj.org. SUBSCRIPTIONS: To order print copies of the current issue or previous issues, please visit Amazon.com or visit the Journal’s website. SUBMISSIONS: Please visit the Journal’s website for submissions guidance. SPONSORSHIP: Individuals and organizations interested in sponsoring the Arizona State Sports and Entertainment Law Journal should contact the current Editor-in-Chief at the Journal’s website. COPYRIGHT ©: 2015–2016 by Arizona State Sports and Entertainment Law Journal. All rights