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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Age of Peak Performance among Swedish Football Players / Optimal Ålder för Prestation hos Svenska Fotbollsspelare

Säfvenberg, Rasmus January 2022 (has links)
Within sports, the relationship between performance and age is deeply intertwined and is of interest to various roles within the sport. Despite its status as one of the largest sports in the world, there is a limited amount of previous work in the context of football and the leagues investigated has emphasized the highest ranked leagues. As a result, leagues with a lower ranking as well as lower tiers remain largely unexplored. Furthermore, the performance metrics used previously were primarily focused on summarized statistics from each match rather than the events themselves. Using more than one performance metric was also rare.  In this thesis, different performance metrics were first examined and computed and then used to evaluate player performance on data from the three highest tiers in Swedish male football hierarchy. The performance metrics used were Expected Threat, Post-shot Expected Goals, as well as offensive and defensive values from the Valuing Actions by Estimating Probabilities framework. The importance of the metrics varied by position and should be weighted accordingly for optimal performance.  A weighted sum of the metrics was then used as the target, which was modeled by the delta method, polynomial regression and generalized additive models. The features used were either age, age and player, or an interaction between age and age-related decay. Among the selected models, the delta method was not suitable for this type of data but both polynomial regression and generalized additive models showed promise in peak age estimation. The results indicated that the peak age varies by position but also on the method of estimation. For forwards, midfielders and defenders the peak performance was most likely to occur between the ages of 25 and 27 while the apex among goalkeepers frequently occurred in the age range of 25 to 29. The polynomial regression implied a later peak in general than the generalized additive model and the latter also allowed for different trajectories of the aging curve. It was also found that midfielders and defenders have a longer near-peak level of performance compared to forwards and goalkeepers.

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