Agile Sports / Agile Sports Analytics

This is a review of the baseball analytics research conducted by David Michael Vock and Laura Frances Boehm Vock, applying a potential outcomes framework and G-computation algorithm. Baseball is an intricate sport, intertwining offensive and defensive strategies.  Baseball offense depends on the pitches the batter faces, the batter’s choice to swing, and the batter’s hitting… The post Sports Analytics Methods – Potential Outcomes Framework appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/potential-outcomes-framework/

This is a review of the baseball analytics research conducted by David Michael Vock and Laura Frances Boehm Vock, applying a potential outcomes framework and G-computation algorithm. Baseball is an intricate sport, intertwining offensive and defen... https://www.agilesportsanalytics.com/?p=887

This is a review of the tennis analytics research conducted by Stephanie Ann Kovalchik, applying a bookmaker consensus model. Where there are sports, there are people predicting the outcome.  Trying to figure out who will win fascinates people of all ages all around the world.  This includes fans of the sport of tennis. Models that… The post Sports Analytics Methods – Bookmaker Consensus Model appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/bookmaker-consensus-model/

This is a review of the tennis analytics research conducted by Stephanie Ann Kovalchik, applying a bookmaker consensus model. Where there are sports, there are people predicting the outcome.  Trying to figure out who will win fascinates people of... https://www.agilesportsanalytics.com/?p=883

This is a review of the soccer analytics research applying a generalized linear spatial regression model, conducted by Iavor Bojinov and Luke Bornn. Soccer is the most popular sport in the world and the Barclays English Premier League has the largest fan base of all soccer leagues.  Soccer is a dynamic game dependent on team… The post Sports Analytics Methods – Generalized Linear Spatial Regression Model appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/generalized-linear-spatial-regression-model/

This is a review of the soccer analytics research applying a generalized linear spatial regression model, conducted by Iavor Bojinov and Luke Bornn. Soccer is the most popular sport in the world and the Barclays English Premier League has the larg... https://www.agilesportsanalytics.com/?p=878

This is a review of the sports research conducted by Stephen Devlin and Thomas Treloar applying network diffusion methods (Massey, Colley’s and Markov chain methods). Ranking is a natural phenomenon within the world of sports.  Teams are ranked and so are individual players.  In leagues consisting of a small number of teams and playing a… The post Sports Analytics Methods – Network Diffusion Methods appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/network-diffusion-methods/

This is a review of the sports research conducted by Stephen Devlin and Thomas Treloar applying network diffusion methods (Massey, Colley’s and Markov chain methods). Ranking is a natural phenomenon within the world of sports.  Teams are ranked... https://www.agilesportsanalytics.com/?p=875

This is a review of the sports research conducted by Nicholas G. Polson and Hal S. Stern applying a distributional model and Brownian motion process. Why do we like to watch sporting events?  One main reason is that we can never be sure of the outcome of the event until the end.  There is always… The post Sports Analytics Model – Brownian Motion Process appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/brownian-motion-process/

This is a review of the sports research conducted by Nicholas G. Polson and Hal S. Stern applying a distributional model and Brownian motion process. Why do we like to watch sporting events?  One main reason is that we can never be sure of the ou... https://www.agilesportsanalytics.com/?p=870

This is a review of the NBA research conducted by Joseph Kuehn applying event tree models and conditional probability. A key to the success of any NBA team is the ability to put together a lineup of players who work well together. Success depends on the whole being better than the parts. In this research,… The post Sports Analytics Methods – Event Tree Models, Conditional Probability appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/event-tree-models-conditional-probability/

This is a review of the NBA research conducted by Joseph Kuehn applying event tree models and conditional probability. A key to the success of any NBA team is the ability to put together a lineup of players who work well together. Success depends ... https://www.agilesportsanalytics.com/?p=867

This is a review of the NCAA tournament bid research conducted by B. Jay Coleman, J. Michael DuMond, and Allen K. Lynch applying probit stepwise regression. The NCAA Tournament garners more than 60 million Americans completing a tournament bracket. It is estimated that anywhere from $60 – 70 million is bet legally every year with… The post Sports Analytics Methods – Probit Stepwise Regression for NCAA Tournament Bids appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/probit-stepwise-regression/

This is a review of the NCAA tournament bid research conducted by B. Jay Coleman, J. Michael DuMond, and Allen K. Lynch applying probit stepwise regression. The NCAA Tournament garners more than 60 million Americans completing a tournament bracket... https://www.agilesportsanalytics.com/?p=863

This is a review of the professional sports league competitiveness research conducted by Craig E. Wills. Competition is why we have sports teams and what draws fans to the games. Games that are not competitive result in fans leaving the stadium early or changing channels on their televisions. Non-competitive games also change the tactics used… The post Sports Analytics – Measuring Competitiveness Across Major Pro Sports Leagues appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/measuring-competition-in-pro-sports/

This is a review of the professional sports league competitiveness research conducted by Craig E. Wills. Competition is why we have sports teams and what draws fans to the games. Games that are not competitive result in fans leaving the stadium ea... https://www.agilesportsanalytics.com/?p=860

This is a review of the approximation formula and stochastic model research for analyzing the pace of play in golf, conducted by Qi Fu and Ward Whitt. Golf courses are always looking to maximize profit without affecting the golfers’ enjoyment of the game. Stochastic models and computer simulations provide information regarding how to optimize the… The post Sports Analytics Methods – Applying Approximation Formulas and Stochastic Model in Golf appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/approximation-formulas-and-stochastic-model/

This is a review of the approximation formula and stochastic model research for analyzing the pace of play in golf, conducted by Qi Fu and Ward Whitt. Golf courses are always looking to maximize profit without affecting the golfers\' enjoyment of t... https://www.agilesportsanalytics.com/?p=856

This is a review of the NBA referee bias research conducted by Christian Deutscher using frequencies and logic approach. The National Basketball Association hires referees to be impartial judges. However, refereeing is by its nature subjective, which means it is possible that there is some bias involved. Biases may be based on favorite players or… The post Sports Analytics Methods: Applying Frequencies and Logic Approach to Assess Referee Bias in the NBA appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/sports-analytics-methods-assessing-referee-bias-in-the-nba/

This is a review of the NBA referee bias research conducted by Christian Deutscher using frequencies and logic approach. The National Basketball Association hires referees to be impartial judges. However, refereeing is by its nature subjective, wh... https://www.agilesportsanalytics.com/?p=853

This is a review of the research conducted by Keith Ingersoll, Edmund Malesky, and Sebastian M. Saiegh applying ordinary least squares rfegression. Diversity is a hot topic across all aspects of society, including sports. Teams need to balance the costs and benefits of diversity. Costs include dealing with language and cultural barriers while benefits are… The post Sports Analytics Methods – Ordinary Least Squares Regression to Measure Impact of Diversity in Soccer appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/ordinary-least-squares-regression/

This is a review of the research conducted by Keith Ingersoll, Edmund Malesky, and Sebastian M. Saiegh applying ordinary least squares rfegression. Diversity is a hot topic across all aspects of society, including sports. Teams need to balance the... https://www.agilesportsanalytics.com/?p=848

This is a review of the weighted plus/minus soccer metric research conducted by Steven R. Schultze and Christian-Mathias Wellbrock. While soccer is the most popular sport in the world, its’ analytics have not reached the same level as those for other sports. However, the field is continuing to grow. A plus/minus metric has traditionally been… The post Sports Analytics Methods – Weighted Plus/Minus Metric in Soccer appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/weighted-plus-minus-metric/

This is a review of the weighted plus/minus soccer metric research conducted by Steven R. Schultze and Christian-Mathias Wellbrock. While soccer is the most popular sport in the world, its’ analytics have not reached the same level as those for ... https://www.agilesportsanalytics.com/?p=841

This is a review of the graphing, stratification, correlation, and causation research conducted by Barry Smyth. The marathon is a grueling 26.2 miles and is often considered the iconic endurance event.  Every year millions of runners, both elite and recreational, participate in marathons around the world.  The goal for some is just to finish the… The post Sports Analytics Methods – Graphing, Stratification, Correlation, and Causation appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/sports-analytics-methods-graphing-stratification-correlation-and-causation/

This is a review of the graphing, stratification, correlation, and causation research conducted by Barry Smyth. The marathon is a grueling 26.2 miles and is often considered the iconic endurance event.  Every year millions of runners, both elite ... https://www.agilesportsanalytics.com/?p=836

This is a review of the negative binomial regression model research on Heisman voting conducted Nolan Kopkin. The Heisman Trophy is the top award given to a college football player every year.  However, many speculate that there is a bias in the voting process.  The country is split into six regions, Northeast, Mid-Atlantic, South, Southwest,… The post Sports Analytics Methods – Negative Binomial Regression Model appeared first on Agile Sports Analytics. https://www.agilesportsanalytics.com/negative-binomial-regression-model/