Veja como você pode otimizar a avaliação de desempenho com o software de análise de vídeo.

A key aspect of video analysis is knowing what you want to capture and what you want to analyze. That informs the appropriate location and set up of the equipment. For example, in swimming there are many angles from which you can capture video. Each angle is more or less effective for what skills you want to be able to analyze. By clarifying what outcomes you want to achieve, and what need to see to achieve, those outcomes, you can ensure that the placement of the equipment facilitates those outcomes.

Video analysis software can optimize performance evaluation by defining goals, coding for efficiency, consistent filming, using multiple filming angles, tagging and annotations, data integration, leveraging analytics tools, segmentation, combining qualitative and quantitative data, and providing targeted feedback. By defining goals, coding for efficiency, using multiple angles, utilizing software features, and integrating data sources like GPS or biometric data, video analysis can provide a comprehensive view of performance. By combining qualitative and quantitative data, video analysis can provide a holistic view of performance and provide targeted feedback for improvement.

Video analysis software transcends traditional performance evaluation methods by offering visual evidence that enhances understanding and retention of feedback. Players can visually observe their actions and decisions, facilitating self-assessment and active participation in their own development process.

Video analysis of a player not only depends upon the software, but also at the expertise of people handling that, the camera worker, data analyzer, the decision makers and the task handlers, quite difficult to handle all this through software.

Uma fórmula de sucesso para análises de desempenho é o trabalho com cada profissional, individualmente, apresentando sua evolução a favor da equipe e como isso pode contribuir com o sucesso de um campeonato. Compreender o que o profissional precisa evoluir, suas deficiências e as ações necessárias para o bem profissional dele é a função primeira. Em seguida, manter as análises conforme o estabelecido, para que não se perca do propósito e de suas metas.

Ever watched your kids learn something new? They watch. Observe. Try. Observational learning is a cornerstone of sports performance that is usually forgotten. But it needs to be incorporated because: --> It activates similar brain areas used during actual performance, enhancing neural pathways related to the sport --> Watching skilled movements helps athletes internalize techniques, improving their own execution --> It allows for the analysis of spontaneous behavior in a natural context, providing real-time and post-hoc insights --. Athletes can learn strategic behaviors and tactics by observing peers and competitors Observational methods help identify key performance elements, which can be emulated for better outcomes3.

In my view, combining game video analysis with GPS metrics and field player positions represents a revolutionary step forward in sports science. Video analysis alone offers rich, qualitative insights into player movements, tactical decisions, and team dynamics. However, when these insights are integrated with the quantitative precision of GPS metrics, which track speed, distance, and movement patterns, we gain a far more nuanced understanding of performance. By mapping these data points to specific field positions, we can see how a player's location affects their physical demands and tactical effectiveness.