Elit Kadın Futbolcularında Yük Toleransının GPS Tabanlı Göstergelerle Modellenmesi: Sezon İçi Bir Yaklaşım

Abstract

Bu çalışmanın amacı, elit kadınlar süper liginde mücadele eden futbolcularda sezon içi dönemde GPS tabanlı dış yük göstergeleri kullanılarak yük toleransının değerlendirilmesi ve modellenmesidir. Çalışmaya, sezon içerisinde oynanan son altı resmi lig maçında görev alan elit kadın futbolcuların GPS verileri dâhil edilmiştir. Toplam koşu mesafesi, yüksek şiddetli koşu, ivmelenme/yavaşlama, dinamik stres yükü ve toplam metabolik güç gibi dış yük göstergeleri analiz edilmiştir. Yük toleransı maçtan maça değişkenlik (CV) yöntemiyle değerlendirilmiş; değişkenler arası ilişkiler Spearman korelasyon analizi ile incelenmiştir. Dinamik stres yükünün yordayıcıları çoklu doğrusal regresyon analizi ile modellenmiştir. Bulgular, dinamik stres yükü ve yüksek şiddetli koşu göstergelerinin maçtan maça en yüksek değişkenliği sergilediğini ve dinamik stres yükünün en güçlü yordayıcılarının toplam koşu mesafesi ile yavaşlama sayıları olduğunu göstermiştir. Sonuç olarak, sezon içi dönemde yük toleransının değerlendirilmesinde yalnızca koşu hacminin değil, mekanik stres ve yüksek şiddetli yük bileşenlerinin de dikkate alınması gerektiği sonucuna varılmıştır.

Keywords

• Kadın futbolu
• GPS
• yük toleransı
• maçtan maça değişkenlik
• dinamik stres yükü

PS-Based Load Tolerance in Elite Women's Footballers Modeling with Indicators: An In-Season Approach

Abstract

The aim of this study was to evaluate and model load tolerance in elite female soccer players using GPS-based external load indicators during the in-season period. GPS data obtained from elite female soccer players competing in the national top league during the last six official league matches were analyzed. External load variables including total distance, high-speed running, accelerations/decelerations, dynamic stress load, and total metabolic power were examined. Load tolerance was assessed using match-to-match variability (coefficient of variation, CV), and relationships between variables were analyzed using Spearman correlation analysis. The predictors of dynamic stress load were identified through multiple linear regression analysis. The findings indicated that dynamic stress load and high-speed running exhibited the greatest match-to-match variability, and total distance and decelerations were the strongest predictors of dynamic stress load. These results suggest that, during the in-season period, the assessment of load tolerance should consider not only running volume but also mechanical stress and high-intensity load components.

Keywords

• Women’s soccer
• GPS
• load tolerance
• match-to-match variability
• dynamic stress load

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