Menlo Park, CA – February 23, 2022 – Kitman Labs, the sports technology and analytics company setting a new industry standard for how elite sports organizations use data and operate, today debuted a groundbreaking, daily injury risk analytics tool, Risk Advisor. Built on the recently launched iP: Intelligence Platform – a multi-disciplinary operating platform for sports organizations, designed to increase performance, support recruiting strategies, produce high quality talent, and enhance athlete health and safety – Risk Advisor helps teams break down internal silos to increase the value of their data in regard to injury risk. Risk Advisor is a team-specific data analytics tool that leverages multivariate analysis to identify when players are at a higher risk of injury on a daily basis.

The global sports industry is experiencing an unprecedented data boom, with nearly 2.5 million data points being collected on each player annually. In a recent survey, 70% of performance scientists agreed that assessing injury risk from multiple variables and contexts is among the most important and complex issues teams face today. While synthesizing data on injury risk can often require months of analysis, Risk Advisor leverages a team’s data directly from their Intelligence Platform to provide daily insights that will help practitioners understand the relative risk of injury for everyone on their team.

“We are empowering teams with an increased understanding of their own data,” said Stephen Smith, Founder and CEO, Kitman Labs. “Every day teams are met with millions of data points, and the ability to discern patterns within that data is increasingly difficult. Risk Advisor is the only transparent injury risk data analytics tool powerful enough to incorporate whatever injury, performance, testing, load and/or response data a team has deemed critical for their success.”

With Risk Advisor, teams control what data is incorporated into the model to reflect their measurement of success. Teams will now know exactly what is driving the results and can focus with a level of specificity, individualization, and quantification the industry has not yet experienced. Assessing the levels of risk around injury ensures full optimization and safety of their players, benefiting both organizations and individual players. By leveraging their team’s own data, Risk Advisor will allow coaches, physical performance and medical staff, and players to work collaboratively to create individualized plans that improve player availability and performance and decrease the risk of salary and benefit losses.

“Risk Advisor is a first-of-its-kind tool, built directly onto a platform that will allow teams to perform vital assessments on the data points essential to achieving their goals,” said Smith. “Risk Advisor and Intelligence Platform are inseparable and deliver enhanced results for teams, enabling them to generate actionable insights on injury performance.”

The introduction of Risk Advisor follows the recent, successful close of a $52M Series C funding round. The funds are helping fuel innovation, the rapid expansion of Kitman Labs’ global workforce and ongoing research initiatives.

About Kitman Labs

Kitman Labs is the Intelligence Platform provider for elite sports teams and military organizations. Founded in 2012 with the vision to fundamentally change how the performance industry uses data to power performance, health, development, and talent strategy, Kitman Labs has consistently set the standard for innovation, data integration, design, and analytics. With over 100 Performance Experts with backgrounds in coaching, medical, sports science, and data science, Kitman Labs provides unparalleled expertise and support. Over 700 elite teams across the NFL, NHL, MLB, NCAA, English Premier League, La Liga, Serie A Bundesliga, Pro14, Premiership Rugby, and Japan’s Top League use the company’s platform. The company has a presence in the United States, Ireland, United Kingdom, Central Europe, Australia and Japan.

Media Contact:

DKC for Kitman Labs
kitmanlabs@dkcnews.com