Abstract
Many teams around the world are utilizing data obtained from their athletes to some degree in order to help maximize their on-field performance. This information comes from both qualitative and quantitative sources. However, in spite of plentiful data available from numerous avenues, one of the biggest puzzles, especially in a sport like American football, is how to have the head coach buy into the science, trust it and utilize the data to his advantage. In my paper, I will talk about learning a football coach’s language of communication. Furthermore, I will focus on using regressions and classifications to translate the information in a form that is best understandable to a coach. Moreover, I will highlight the various types of technologies used by us at Texas A&M Football not only to test and analyze the data but also, to collect it. I will conclude by explaining how important design and implementation of a successful periodization scheme is in order to prevent injuries and drive future individual and team performance.
Details
Presentation Type
Theme
KEYWORDS
American Football, Data Science, Sports Science, Analytics
Digital Media
This presenter hasn’t added media.
Request media and follow this presentation.
