By detecting potential indicators of muscle fatigue in football athletes such as inappropriate movement patterns and overstrained muscles, practitioners can act upon this information to implement further strategies towards injury prevention. Currently, a testing battery is being developed that observes standardized movement patterns using biomechanical software to screen athletes for indicators of physical fatigue. The aim is to use the results to adapt individual training interventions if required.
Athletes may be prone to the negative effects that mental fatigue has on their sporting performance, resulting in possible decreases in their technical and physical performance coupled with higher ratings of perceived effort feeling fatigued.
Smart data will be used to determine what performance criteria is required to achieve excellence in a football domain. These criteria will further be used as a framework to help scout for talented players and inform best practice to help support talented youth players with their long-term transition into professional athletes.
In many domains, how cohesive a team is may explain how successful they are at completing a specific task while maintaining the needs of their group members. Appropriately, a large amount of interest has been dedicated into understanding what unites a group of individuals and allows them to consistently and successfully complete tasks.
Talent development is not a one-size-fits all principle. Successful talent development programs rely on understanding each individual’s strengths and weaknesses and to continuously adjust their training accordingly.