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The effect of injuries on football players' market values – the role of recurrent injuries in young players
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Resumo(s)
Football players’ market values are intensively researched as the focus gradually shifts from
qualitative approaches and subjective perception to data-driven estimation. Previous work drew
on player characteristics and top-level performance metrics but only few included injuries. This
thesis resorts to data from Opta and Transfermarkt and leverages MLR and machine learning
approaches to derive market values.
Our LightGBM and MLR models predict market values accurately and identify direct impacts
of injuries. Additionally, we found that recurring injuries affect especially young athletes.
Descrição
Palavras-chave
Football Market values Injuries Machine learning LightGBM MLR Opta Transfermarkt