NCAA WOMEN’S BASKETBALL TEAM TRACKS SPRINTS USING STRIVE TECH

PURPOSE

Understanding game workloads allow coaches better insight into the demands of Women’s Basketball at the NCAA D1 Level. Coaches look to prescribe training loads in the gym and on the court through progressions that appropriately prepare athletes to perform during matches. Most team sport that require demands of intermittent exercise include the ability to perform through high-intensity bouts of high-speed running. The purpose of this case study was to capture, analyze and visually prepare data to better understand sprinting demands of Division 1 Collegiate Women’s Basketball.

BACKGROUND

Strive is a performance tracking wearable technology system seamlessly integrated into compression shorts for both female and male athletes utilize in all training settings. The garments are comfy, can be embedded in whatever brand the team desires, and can be fitted on any size. This technology utilizes Inertial Movement Analysis (IMA) to quantify your movements indoors and outdoors, electromyography (EMG) to track muscle outputs of the quads, hamstrings and glutes, Heart Rate HR and Speed + Distance analysis. Connecting these data points allows Strive to assist teams with analysis to answer questions regarding force, fatigue, accelerometry, symmetry, recovery, and injury data. This data is analyzed and reported back through our extensive Sports Science team who is constantly keeping up to date on current research to provide the best insights and help the process of making informed decisions between the performance staff.

MATERIALS & METHODS

Strive Technology was worn during practices, scrimmages, and conditioning sessions. The data is collected Live in a “PUCK” at the front of the garments that can be downloaded through Strive’s Data Capturing Application via Bluetooth. This capturing platform allows you to control, analyze and compared data between sessions, players, teams, etc. Data was collected and uploaded by the team’s Performance staff at the end of each session but can also be viewed LIVE during the session. Sprinting data was captured through the device from the start of pre-season until the game on January 2nd . This data was downloaded into the application, exported into excel and then analyzed through PowerBI as a visual. Metrics captured were number of sprints 11 mph or greater, total distance (mi), length of sprints (sec), and sprint speed (mph).

RESULTS

Year long graphs of number of sprints per positional group and total distance were outlines to show increase and decrease trends.

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Averages of both total distance and average sprints were compared to show high/low intensity periods compared to high/low volume periods by weeks.

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Out of the 12 games captured, each had 1 or more days (-3, -2, -1) of total distance or number of sprints 11+ that were 1 or more standard deviation away from the average.

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Average game demands were also calculated between positional groups for total distance (Guards: 3 mi, Forwards: 2 mi) and sprints (Guards: 38.56 and Forwards: 19.45) to better understand positional requirements.

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CONCLUSION

Tracking the demands of games and practices is important to understand the requirements of athletes. When S&C coaches look to work backwards from the demands of the game to periodize training, skill coaches should also look to periodize court-based training plans. Having deeper insights into practices, scrimmages and conditioning workouts will better equip coaches to make informed decisions. Utilizing Strive Technology allows coaches to see internal/muscle load and external loads, as well as IMA data to see how many standard deviations practice is off the average for that day (-3, -2, -1) leading into a game. Don’t guess what your practice should be, have markers to match that you know are successful for your teams’ style of play. This creates the ability to control preparedness and push for better chances to succeed.