If you were to wake up in the morning and check the box-score of a game you missed the night before, what would you be trying to figure out? What would you be looking for? I’d bet you’d ask yourself questions like “how did they do last night?” or “oh, did they stay hot?” orContinue reading “Sports Analytics: A Science — Ch. 3: Function of Performance vs. Measure of Ability”
Category Archives: Public Research
Sports Analytics: A Science — Ch. 2: Percentages, Rates, and Interpreting Metrics
Percentages and Rates The next two most basic categories of metrics both utilize the three fundamental types of metrics in their calculations: percentages and rates. These are perhaps both the most common, but also often the most tricky, types of metrics. A percentage metric refers to one that shows the success rate for performing aContinue reading “Sports Analytics: A Science — Ch. 2: Percentages, Rates, and Interpreting Metrics”
Sports Analytics: A Science — Ch 1: The Fundamentals
First, it’s important to lay down a framework for defining and understanding the numbers that are involved in sports analytics. Traditionally, we refer to the numbers recorded in sports as “stats.” The problem with using this term in the context of sports analytics is that “stats” is already shorthand for the field of statistics, whichContinue reading “Sports Analytics: A Science — Ch 1: The Fundamentals”
Sports Analytics: A Science — Ch 0: An Introduction
Sports and science have always been naturally intertwined. An athlete improves their ability to kick or throw a ball by practicing over and over again, each time analyzing the path of the ball so they can do it better the next time. In physics, the path of a projectile is studied so we can betterContinue reading “Sports Analytics: A Science — Ch 0: An Introduction”
Applying Network Analysis to Analyzing Box Lacrosse
The following is taken from Eddy Tabone’s senior research paper from his undergraduate at St. John Fisher College in the fall of 2018. Networks and Their Application in Sports While typically thought of in their most common form of modeling the relationship between two variables, the concept of a graph can be expanded to describeContinue reading “Applying Network Analysis to Analyzing Box Lacrosse”
A Critique of fWAR: Inferential and Sensitivity Studies of the Baseball Wins Above Replacement Metric
Section 1: Introduction Wins Above Replacement (WAR) is an estimation of the number of wins a baseball player brings his team, more so than a designated replacement level player. Any given WAR equation is composed of dozens of different calculations that incorporate dozens of different existing baseball metrics. WAR gained popularity on fangraphs.com as aContinue reading “A Critique of fWAR: Inferential and Sensitivity Studies of the Baseball Wins Above Replacement Metric”