Sports Analytics - Potential Outcome Framework

Sports Analytics Methods – 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 defensive strategies.  Baseball offense depends on the pitches the batter faces, the batter’s choice to swing, and the batter’s hitting…

Sports Analytics - Approximation Formulas and Stochastic Model

Sports Analytics Methods – Applying Approximation Formulas and Stochastic Model in Golf

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…

Sports Analytics - Frequencies and Logic Approach

Sports Analytics Methods: Applying Frequencies and Logic Approach to Assess 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, which means it is possible that there is some bias involved. Biases may be based on favorite players or…