Tag Archive for: Big Data

GAINcast Episode 101: Test practices

Testing is a crucial part of training, even more so in the era of big data. On this episode of the GAINcast Vern walks through his approach to testing and shares his best practices. In the end testing is about getting an accurate picture of the athlete so you can determine the way forward. That’s easier said than done, and Vern has learned a few lessons throughout his career about how to making testing more specific, integrated, and motivational. Read more

Looking beyond the height: a guide to vertical jump testing

The vertical jump. The king of the combines that can make or break athletes contracts. Everyone is in awe of the height of the vertical jump. I remember as a kid, we would compete to see who could touch the highest up on the basketball net and then eventually the backboard. We jump so much that our bodies have figured out how to get the highest jump for ourselves. We want to be the king of the playground, or in my case, not the worst on the playground, so we developed this strategy about how to jump the highest. Read more

GAINcast Episode 96: The Arsenal Arrow (with Des Ryan)

If you want pressure to perform, try working in professional soccer in England. To make matters more complicated, try working with young players and balancing the need for short-term results and setting up long-term potential. That is the challenge Des Ryan confronts every day as Head of Sports Medicine & Athletic Development at the Arsenal Academy. On this episode of the GAINcast he explains the Arsenal approach to athletic development and high performance. Read more

Sports Biometric Data – The Good, The Bad and The Ugly

Last week I attended the second annual Sports Biometrics conference in San Francisco, it was a good conference with very good information and challenging ideas. I also attended in 2016. Last year my general impression from the presentations and my interaction with the attendees was that data was king, it seemed that everyone was enamored by what could be measured and how. It was as if there was to measure everything that could be measured and then some. Read more