3 results found

Hakan BAYRAKTAR, Erkan GUNAY, Erhan CENE, Egemen MANCI, Zeki AKYILDIZ

Background The aim of this study was to analyze the variation between within-week and between-playing positions on the locomotor and mechanical demands of soccer players.Methods 19 elite soccer player...

BMC Sports Science, Medicine and Rehabilitation 2026-04-23 rs-9346076
Soccer TRIMP Workload Players Heart Rate GPS Microcycles

Halil İbrahim Çakır, Recep Fatih Kayhan, Esranur Terzi, Harun Koç

Background Explosive power is a key determinant of soccer performance and is closely associated with lower extremity joint function, particularly hip and knee range of motion (ROM) and muscle strength...

BMC Sports Science, Medicine and Rehabilitation 2026-04-22 rs-9372764
Age differences Explosive power Neuromuscular performance Soccer players Youth athletes

Kofi Nyantakyi Appiah, Nathanael Adu, Divyanshu Kumar Singh, Edward Edem Nartey

A fully reproducible expected-goals (xG) modelling pipeline is presented as an interpretable machine learning approach using open football event data from StatsBomb for La Liga 2015/2016 and the 2018 ...

International Journal of Data Science and Analytics 2026-04-21 rs-9175702
Expected goals soccer analytics machine learning logistic regression mixed-effects models
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