Betting Gods – handpicked betting tips by experienced tipsters. Horse racing, greyhound racing, and various ball sports (football, basketball)
The Power Rank – Ed Fang’s superb site, combining predictive analytics with data visualization, based on the scientific knowledge of a Stanford PhD graduate. Very interesting blog posts – Definitely worth checking out!
Sports Analytics Lab at the Catholic University (Katholieke Universiteit) of Leuven, Belgium. The researchers at KU Leuven work on a wide range of topics, such as i) Predicting match outcomes using raw statistics and match ratings, ii) Predicting and preventing injuries using test results and workloads, iii) Automatically generating match reports from play-by-play data, iv) Identifying players’ playing styles in play-by-play data.
The Journal of Sports Analytics – The Journal of Sports Analytics (JSA) is a new high-quality research journal that aims to be the central forum for the discussion of practical applications of sports analytics research, serving team owners, general managers, coaches, fans, and academics. (Topics cover: player evaluation, game strategies, sports business, roster construction, contract negotiations, data visualization, physics in sports, draft analysis, sport psychology, coaching evaluation, technology in sports, rule changes, referee analytics, health and injuries, sports awards, sports records, and many more…)
Bloomberg Sports – one of the leading sources of sports analytics.
Punter2Pro is a betting blog, offering high-quality content in the following categories: 1) Professional betting – you can learn more about what it takes to earn money from sports betting, 2) Product reviews – Sports betting tools & services offering the most value to punters, 3) The Fundamentals of Betting – Important tips & advice for improving your basic betting skills, 4) General & Miscellaneous – Punter2Pro updates and articles loosely associated with sports betting.
Princeton Sports Analytics – an insightful blog edited by a team of students at Princeton University.
NumberFire.com – the people behind NumberFire.com use mathematical modeling to predict and analyze sports (NFL, NHL, MLB and NBA) results in groundbreaking new ways. Premium accounts available.
Advanced NFL Stats – a highly informative source of research, analysis and statistics. Draft, Game Strategy, Payroll & personnel, Weather, Team, individual player and game analysis, game probabilities, advanced team statistics, offensive/defensive players, game matchups and a lot more…
Bayesian Fantasy Football – a blog focusing on the Bayesian inference is a widely heralded branch of statistics that deals with updating beliefs using new data. It’s a natural fit for fantasy football — each season starts with a set of beliefs (predraft rankings) that need to be updated with new data (each week’s games).
There is a growing number of sports analytics conferences and workshops all around the world. Please drop us a line if you want us to add another one to the list!
MIT Sloan Sports Analytics Conference – the leading industry event, with the objective to provide a forum for industry professionals (executives & leading researchers) and students to discuss the increasing role of analytics in the global sports industry. MIT Sloan is dedicated to fostering growth and innovation in this arena, and the conference enriches opportunities for learning about the sports business world. The conference is open to anyone interested in sports.
Sports Analytics Innovation Summit – Among many other big data and predictive analytics summits (e.g. Gaming Analytics Summit), the Innovation Enterprise runs the Sports Analytics Innovation Summit in Melbourne, London and San Francisco.
2014 KDD Workshop on Large-Scale Sports Analytics – KDD 2015 will take place in Sydney. Check back for news!
Batter Up! Advanced Sports Analytics with R and Storm – a good webinar, organized by the California-based company Revolution Analytics.
Blog posts and articles
8 Ways Big Data and Analytics Will Change Sports an insightful article on the impact of big data on sports analytics by Lauren Brousell (CIO.com)
How Sports Data Analytics Is Upsetting The Game All Over Again – This well-written blog post explains why new predictive analytics make the movie Moneyball look obsolete. (FastCompany.com)
Beyond ‘Moneyball’: The rapidly evolving world of sports analytics, Part I – Over the past few years, the world of sports has experienced an explosion in the use of analytics. In this three-part series, the authors Benjamin Alamar and Vijay Mehrotra reflect on the current state of sports analytics and consider what the future of sports analytics may look like.
Innovation Hub: The Next Wave of Sports Analytics – an interview on some of the innovative uses of big data with Kraft Sports vice president Jessica Gelman and ESPN marketer-turned-MIT lecturer Ben Shields.
Mathematical formula predicts clear favourite for the FIFA World Cup – an oldie (2012) but goodie. Mathematicians and football supporters Dr Javier López Peña and Dr Hugo Touchette from Queen Mary, University of London have collected ball passing data from all of the FIFA World Cup games and analysed it to reveal the nations’ different styles of play. Using the mathematical technique called Graph Theory, they have revealed the gaping holes in England’s tactics against Germany game and made predictions about the Netherlands-Spain final that could rival the psychic octopus.
What Is the Best Method for Predicting Football Matches? – “If you want to know how well a team is likely to play in the future, you’re better off looking at their underlying stats than at their place in the standings” – a great piece by Michael Caley.
How shocking was Brazil’s 7-1 defeat, mathematically speaking? Germany’s trouncing of Brazil was unprecedented in World Cup history, but the result may not be as surprising as you might think – another interesting real-life application of the Poisson distribution.
Football Predictions For The IL Championship Games by Paul Katula
Tools and software
Double Blue Sports – game-changing hockey analysis software.
SAS – a software solution for enterprise clients.
Opta Sport Pro – analyze. prepare. discover. Opta’s Predictive modelling and analysis services are based on Opta’s own data. Opta’s team of in-house statisticians focuses on mining this data to create the best predictive and analytical models and algorithms.
OmniSport – progressive sport news (B2B) – OMNISPORT is the market-leading international sports news agency, providing breaking global sports video, editorial, stills, audio and data. Our local and global sports content packages provide over 33,000 written stories, 11,000 video stories, plus data from over 1,700 leagues & competitions and includes the most extensive available coverage of global football news.
Prediction Machine – View current scores as well as live, updating projections from 50,000 simulations of the remaining basketball, football and baseball games with the totally free Live ScoreCaster from PredictionMachine.com. After each play in an NFL, college football, college basketball or NBA game and after each half inning in every MLB game, the Predictalator simulates the rest of the game 50,000 times to determine the projected score and the likelihood of either team winning. All free live updates – with scores, play-by-play, charts and projected scores – are available below. Find games involving your favorite teams easier with My Teams or check out Recent Games. In the App (iTunes and Google Play Store), notifications are available to get updates at the major plays in the game to significantly change the projected outcome.
Win Expectancy FinderGreg Stoll’s free baseball prediction tool.
Sports Analytics: A Guide for Coaches, Managers, and Other Decision Makers by Benjamin C. Alamar.
Benjamin C. Alamar founded the first journal dedicated to sports statistics, the Journal of Quantitative Analysis in Sports. He developed and teaches a class on sports analytics for managers at the University of San Francisco and has published numerous cutting-edge studies on strategy and player evaluation. Today, he cochairs the sports statistics section of the International Statistics Institute and consults with several professional teams and businesses in sports analytics. There isn’t a better representative of this emerging field to show diverse organizations how to implement analytics into their decision-making strategies, especially as analytic tools grow increasingly complex. Alamar provides a clear, easily digestible survey of the practice and a detailed understanding of analytics’ vast possibilities. He explains how to evaluate different programs and put them to use. Using concrete examples from professional sports teams and case studies demonstrating the use and value of analytics in the field, Alamar designs a roadmap for managers, general managers, and other professionals as they build their own programs and teach their approach to others. (Published in 2013 by Columbia University Press; Hardback, 152 pages)
Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports by Thomas A. Severini.
The Most Useful Techniques for Analyzing Sports Data One of the greatest changes in the sports world in the past 20 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results. Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports provides a concise yet thorough introduction to the analytic and statistical methods that are useful in studying sports. The book gives you all the tools necessary to answer key questions in sports analysis. It explains how to apply the methods to sports data and interpret the results, demonstrating that the analysis of sports data is often different from standard statistical analysis. Requiring familiarity with mathematics but no previous background in statistics, the book integrates a large number of motivating sports examples throughout and offers guidance on computation and suggestions for further reading in each chapter. (Published in 2014 by Apple Academic Press Inc.; Hardback, 254 pages)