The Correlation of Biometrics and Game Performance in Division I Collegiate Women's Soccer Team
Date of Award
Level of Access Assigned by Author
Master of Science (MS)
Kinesiology and Physical Education
Second Committee Member
Third Committee Member
In competitive sports, the ultimate goal is to win as many matches, competitions, or games as possible. In an attempt to optimize this goal, the use of data analytics has risen. Soccer, a particularly popular sport across the globe, has been using data analytics for this optimization for multiple decades. One common practice for this data collection is the use of heart rate monitors paired with GPS tracking in order to collect data. Some of the data collected includes training load, total distance, sprints, and time spent in various heart rate percentage zones. Additionally, InStat Index has been used to collect skill specific data about various competition related variables such as shots completed, passes completed and goals conceded. In conjunction with the performance data, coaches can make informed decisions based off of this information to improve the outcome of winning. A University Women’s Soccer team used Polar Team Pro and InStat to analyze their performance. It was found that training load, total distance, sprints and time spent at or above 70% of heart rate maximum are weakly correlated with InStat Index.
Ducker, Finn, "The Correlation of Biometrics and Game Performance in Division I Collegiate Women's Soccer Team" (2021). Electronic Theses and Dissertations. 3395.