In his conversation with John Lally of Pivot Sports, Potenza described how he uses the Firstbeat Sports analytics platform to provide the physiological data and training load metrics he needs. Experts rely on this data to explore the complex relationship between what athletes do and how it impacts their bodies. Because, then you are going to get buy-in and empower them to take a strong grasp on their body, which is their biggest investment.”ĭialing it in with Data Technology offers powerful solutions under these changing conditions, revealing easily and instantly what is happening inside an athlete’s body. First and foremost, as a coach and teacher, I want to make sure I educate our players enough as to why we’re doing what we’re doing. So, any philosophy needs to cover all that range of athlete, and veteran, and seasoned veteran. “What’s unique is that we have 38-year-old players that have been in the league for 19 years, then we have 18-19-year-old players that been in the league for 2-3 weeks. Adding to the challenge is the fact that an athlete’s body changes over the course of the season, and even more dramatically over the course of their career. As a result, expert trainers prioritize understanding what works best for each individual player. In professional sports, margins are slim and one-size-fits-all approaches to preparation mean missing out on performance potential. Our ability to have a high anaerobic level and a high level of work capacity is important to our team.” We’re a high-energy, physical type team that wants to play physically, so our strength is critical, our max strength is critical. We really have to pursue and be relentless when we don’t have the puck to get it back. “We need to battle for the puck in front of the net, and along the wall, and in the corners. “For our team and for our identity, we need to be strong,” explains Potenza, describing how style-of-play influences training needs. “I always ask, you’ve got someone watching your money and your investments, but who’s watching your biggest asset? If your body breaks down, you don’t have an opportunity to stay in the league physically, because you can’t keep up,” he says. To build it, Potenza encourages players to consider his role with the team as “an investment banker for your body.” Cultivating this perspective creates buy-in from the Sharks roster. He also, more recently, talked about how he uses Firstbeat Sports to provide the physiological data he needs to help keep a diverse roster of athletes competitive year after year.Ī Personalized Approach to Asset Management Trust is a vital component of a productive trainer-athlete relationship. In a recent interview, Potenza talked about his approach, philosophy, and the challenges of working as a trainer at the highest level of sports. Getting an NHL team ready to perform at a consistently high level over the course of an 82-game season requires creativity, agility and most importantly, the right information. During his tenure with the team, the Sharks have punched their ticket to the playoffs a remarkable ten times, collecting a handful of division championships along the way and advancing to the Stanley Cup Finals, in 2016. Additionally, SRPE is a simple and low-cost method that might be used for TL monitoring in handball.As the head strength and conditioning coach for the San Jose Sharks for the past 11 years, Mike Potenza has established himself as one of the league’s leading experts in preparing the pros. The results suggest that different constructs seem to be measured by each load model. Shared variances of 13–35% were observed between TL methods comparisons. A moderate correlation was observed for Edwards’ Trimp vs. A large correlation was found between Edwards’ Trimp and distance covered (r=0.59). An oscillatory feature was observed for the three methods of TL assessment (SRPE: 383☑59 A.U., Edwards’ Trimp: 252☗1 A.U., total distance: 3997☑291 m). Internal load models based on SRPE and Edwards’ Trimp were calculated. Distance covered, heart rate and session rating of perceived exertion were recorded during 12 training sessions in 14 youth women handball athletes (16.9☑.1 years). This study examined the association between different methods for training load (TL) monitoring during youth handball training.
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