Sports Analytics Methods – Hawk Eye Data

This is a review of the Hawk-Eye Electronic Line-Calling System Data research conducted by Simon Choppin, Simon Albrtecht, James Spurr, and Jamie Capel-Davies. As technology has improved, the ability to analyze the game of tennis has been enhanced.  One such technology is the Hawk-Eye Electronic Line-calling System.  This system automatically tracks the ball and players…

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Sports Analytics Methods – Allocative Efficiency and Dynamic Efficiency

This is a review of the basketball research applying allocative efficiency and dynamic efficiency techniques conducted by Brian Skinner and Matthew Goldman. The end goal for any basketball game is to win the game.  In order to maximize the chance of winning, teams need to evaluate the effectiveness of their strategies in influencing the outcome…

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Sports Analytics Methods – Injury Risk Mitigation System (IRMS)

This is a review of the Injury Risk Mitigation System (IRMS) research conducted by Calham Dower, Abdul Rafehi, Jason Weber, and Razali Mohamad. Player injuries are a key concern for all teams across all sports. Injuries can cost teams thousands of dollars every day and negatively affect the teams’ competitiveness. Over the years several programs…

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Sports Analytics Methods – Spatiotemporal Trajectory Clustering

This is a review of the spatiotemporal trajectory clustering soccer research conducted by Jennifer Hobbs, Paul Power, Long Sha, Hector Ruiz and Patrick Lucey. In soccer, transitioning from defense to offense and vice versa is extremely important. However, there are no methods to quantify or rank the effectiveness of these transitions. In order to create…

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