Football Tracking Systems Briefly Explained

Stony Brook University, renowned for its research excellence, has advanced its approach to monitoring athlete performance and ensuring player safety by leveraging KINEXON technology. We sat down with George Greene (Senior Associate Athletic Director of High Performance and Competitive Success) and his team, Vincent Cagliostro, Kevin Markle, and Emily Meyer, to discuss their efforts to optimize training and enhance sports performance insights.

Player load tracking in basketball: How does data-based injury prevention, like reducing Jumper’s Knee, become financially beneficial for clubs?

To better manage player load, the SD Eibar’s women’s football team switched to a data-driven strategy powered by GPS. It’s a move that their physical trainer, Ismel Mazola says, led to more confident coaching decisions and motivated his players.

After the holidays, many teams struggle to get back on track. But not Texas A&M Women’s Basketball. Their Strength and Conditioning coach uses data and analytics to avoid a slump and start fast in conference play.

The competitive pressures and dense schedules in professional handball make injuries common among players. The results of a 6‑year study not only highlight the need for an injury prevention plan but also suggest ways coaches can develop one.

Dr. Simon Overkamp, the head of strength and conditioning for the German Handball Federation, employs a data-driven strategy that not only keeps his players rested but also reduces knee injuries. And the Olympic Games play a crucial role in his approach.

Live GPS football data helps keep players fresh for game day. Just ask the Director of Performance for the Appalachian State Football team, Matt Greenhalgh. He shares what he thinks are some of the most critical load management metrics in the game.

New research is shedding light on the importance of improving vertical jump height in basketball. Backed by data, these findings are an eye-opener for coaches because researchers say jump height can positively affect other facets of a player’s game.

Researchers used LPS data and machine learning to create a new model for predicting goals in handball. It’s now helping coaches identify their quality scorers and develop better strategies. Here’s how. 

Do you have players struggling with contested 3‑point shots? Get to know a college coach with a proven method to boost shooting efficiency for high-intensity shots in as little as four weeks. 

Hamstring strains are common among male college American football players. Researchers have been investigating potential risk factors to better understand and prevent these injuries, and they believe they have identified three that all coaches should track.

Call it inside information, but a former pro handball player, who is now a strength and conditioning coach, says one metric seems to stand out when it comes to load management in handball.

The Arizona State University Women’s Volleyball team used data to determine their optimal practice length, and it culminated in one of their best seasons in school history.

Two key figures in the data-driven revolution at the University of Arizona are Jim Krumpos and Dayannara Munoz. They say there are three critical factors that make all the difference in their data collection efforts and training style.

The power of data in ice hockey is eye-opening. Analytics are enhancing player performance, strategic decision-making, and training development. But those aren’t the only ways data-driven hockey software is reshaping the game.