Categories
Blog

Tulsa Men’s Basketball Partners with Sparta Science

Tulsa Men’s Basketball Partners with Sparta Science

Oct. 19, 2018 (TULSA, Okla.) — The University of Tulsa men’s basketball program announced its partnership with Sparta Science, a Silicon Valley company that applies data and technology to the pursuit of human resilience.

The Sparta software platform allows coaches and trainers to measure and reduce player injury risk and improve student-athlete health and performance. Sparta monitors athlete readiness and health with the Sparta Scan, a 60 second test that collects data from a series of movements on a force plate, compares it to database of more than 400,000 standardized force trials and more than 6,000 anonymized injuries to help Tulsa predict injury risk with proven accuracy.

“Partnering with Sparta Science provides us with critical information on how to put our student-athletes in the best position to be successful,” head coach Frank Haith said.

Within the Sparta Science platform, coaches and trainers are able to analyze objective data alongside other metrics such as workouts, HRV, accelerometry, game stats and lifestyle factors such as sleep, stress levels and nutrition to get a full picture of the student-athlete’s health. With Sparta and the Sparta Scan, organizations can get objective measures to power fast, accurate decisions on athletes, their development and ongoing health and wellness.

“In partnering with Sparta Science, we have access to an objective measure of athlete health, injury risk and training response,” TU’s Director of Athletic Performance for Basketball, David Deets, said. “It enables us to prescribe individualized and scientifically validated training protocols with the goal of creating well balanced and resilient student-athletes.”

“We are excited to partner with The University of Tulsa,” said Dr. Phil Wagner, founder and CEO, Sparta Science. “Tulsa’s philosophy with respect to nurturing student-athletes both on the field and in the classroom syncs well with our evidence-based, data-supported approach to sports science.”

Read the entire press release here