Analysis of Women's Soccer Heart Rate Data

We set out to determine how to help our NCAA Women’s Soccer Team use the data gathered from their heart rate monitors. We want to know how variables that are tracked correlate with each other to help the coach determine... [ view full abstract ]

We set out to determine how to help our NCAA Women’s Soccer Team use the data gathered from their heart rate monitors. We want to know how variables that are tracked correlate with each other to help the coach determine better resting and recovery times. The questions we set out to answer are: “What variables contribute to Trimp score?”, “Is QRT score predictive of performance? And “Are previous training sessions predictive of performance?” From our analysis we found strong positive correlations between average heartrate & TRIMP score (r = .9744), total calories burned & TRIMP score (r = .9510), and total minutes played & TRIMP score (r = .8372). From these data, we recommend that focus on average heart- rate when determining workload to maximize player performance throughout the season.