Skip to content
SIGN UP
LOGIN
DOWNLOAD AGILE SPORTS ANALYTICS GUIDE
Agile Sports Analytics
Where Sports Analytics and Agile Management Come Together to Win Championships
Agile Sports AnalyticsAgile Sports Analytics
  • Sports Analytics Blog
  • Sports Analytics Software
  • Sports Analytics Consulting
  • Sports Analytics Assessment
  • Sports Analytics Blog
  • Sports Analytics Software
  • Sports Analytics Consulting
  • Sports Analytics Assessment

Victor Holman’s Sports Analytics Blog – Agile Sports Analytics

You are here:
  1. Home
  2. Victor Holman’s Sports Analytics Blog…
  3. Page 18
Oct162018

Sports Analytics Methods – Hawk Eye Data

Sports Analytics MethodsBy Victor HolmanOctober 16, 2018

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…

Details
Oct152018

Sports Analytics Methods – Allocative Efficiency and Dynamic Efficiency

Sports Analytics MethodsBy Victor HolmanOctober 15, 2018

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…

Details
Oct142018

Sports Analytics Models – Bipartite Graph Algorithms

Sports Analytics MethodsBy Victor HolmanOctober 14, 2018

This is a review of the NBA research using bipartite graph algorithms conducted by Sohum Misra. Basketball is ever growing in its popularity.  Teams look for new techniques to help them gain advantages over their competitors.  One technique increasing in its use is advanced statistics.  These statistics help teams determine the intangible value of an…

Details
Oct62018

Sports Analytics Methods – Player Tracking Data and Network Model

Sports Analytics MethodsBy Victor HolmanOctober 6, 2018

This is a review of the player tracking data and network model research conducted by Brian Skinner and Stephen J. Guy. Since the 2013/2014 season, all NBA arenas have installed a system of cameras and tracking software. These systems provide a wealth of information that can then be analyzed. This information includes both quantifiable and…

Details
Oct52018

Sports Analytics Methods – Injury Risk Mitigation System (IRMS)

Sports Analytics MethodsBy Victor HolmanOctober 5, 2018

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…

Details
Oct42018

Sports Analytics Methods – Spatiotemporal Trajectory Clustering

Sports Analytics MethodsBy Victor HolmanOctober 4, 2018

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…

Details
Oct42018

Sports Analytics Methods – Linear Regression for NBA Draft Choices

Sports Analytics MethodsBy Victor HolmanOctober 4, 2018

This is a review of the linear regression research conducted by Daniel Sailofsky. Every year NBA teams struggle to determine who their coveted draft choices should be. This study focuses on the choices that teams have made in order to analyze decision making biases and errors. The data for this research came from the NCAA…

Details
Oct32018

Sports Analytics Methods – Clustering and Regression to Determine Player Compatibility

Sports Analytics MethodsBy Victor HolmanOctober 3, 2018

This is a review of the clustering and regression research conducted by Robert Ayer. Why do some teams appear to under perform while others seem to over perform? Looking at a team with several star players leads to high expectations, yet the team does not live up to these expectations. Contrarily, teams that lack star…

Details
Oct22018

Sports Analytics Methods – Statistical Prediction Model for NHL Drafts

Sports Analytics MethodsBy Victor HolmanOctober 2, 2018

This is a review of the statistical prediction model research conducted by Michael E. Schuckers. Every year NHL general managers need to decide who they will choose in the draft. A statistical model was built to rank players as to how they should be chosen in the draft. The model included height, weight, statistics regarding…

Details
Oct22018

Sports Analytics Methods – Spatio-Temporal Patterns and Deep Learning

Sports Analytics MethodsBy Victor HolmanOctober 2, 2018

This is a review of the spatio-temporal patterns and deep learning research conducted by Nazanin Mehrasa, Yatao Zhong, Frederick Tung, Luke Bornn, and Greg Mori. Player interactions are a key component of team sports. Every player has a unique trajectory style. Putting these players together as a team creates a unique style for that team.…

Details
1
23456789101112131415
…1617181920…
21
22
Recent Posts
  • Sports Analytics Video – Subjects and Variables
  • Sports Analytics Video – Play Sketching for Strategy Optimization
  • Sports Analytics Video – Probability Distributions
  • Sports Analytics Video – Applying the Rules of Probability
  • Sports Analytics Video – Predictive Modelling
Recent Comments
  • Sports Analytics Methods - Random Coefficient Model on Sports Analytics Expert – Victor Holman
  • Sports Analytics Methods - Poisson Factorization & Variational Algorithms on Sports Analytics Expert – Victor Holman
  • Sports Analytics - Cross Sectional Analysis and Longitudinal Analysis on Sports Analytics Expert – Victor Holman
  • Sports Analytics Methods - Strike Zone Plus/Minus on Sports Analytics Expert – Victor Holman
  • Sports Analytics Methods - Conditional Random Field on Sports Analytics Expert – Victor Holman
Archives
  • December 2019
  • November 2019
  • October 2019
  • September 2019
  • August 2019
  • June 2019
  • May 2019
  • April 2019
  • March 2019
  • February 2019
  • January 2019
  • December 2018
  • November 2018
  • October 2018
  • September 2018
Categories
  • Agile Sports Framework
  • NBA Team Analytic Assessments
  • Sports Analytics Methods
Meta
  • Log in
  • Entries RSS
  • Comments RSS
  • WordPress.org
About

To learn how your team can leverage analytics to yield on court/field results, contact

Victor Holman at (888) 861-8733

Contact Us




Latest blogs
  • Sports Analytics Video – Subjects and Variables
  • Sports Analytics Video – Play Sketching for Strategy Optimization
  • Sports Analytics Video – Probability Distributions
  • Sports Analytics Video – Applying the Rules of Probability
  • Sports Analytics Video – Predictive Modelling
START ASSESSMENT NOW
The Agile Sports Framework and Agile Sports Analytics Application are products of Agile Sports Analytics, LLC. © 2018. All rights reserved.
Go to Top