An Accelerometer-Based Training Load Analysis to Assess Volleyball Performance

Abstract


 
 
 Introduction: The purpose was to quantify a volleyball athlete’ s accelerometer-based workloads and utilize a neuromuscular fatigue jump test to assess on-court performance throughout a competitive season.
 Methods: One, Division I volleyball athlete was monitored throughout each practice and competitive game using a validated wearable microsensor device (Catapult Sports). To assess neuromuscular fatigue, an approach jump (AJ) test was completed weekly. On-court statistics were recorded each game.
 Results: Utilizing a forward linear regression model, low intensity decelerations, moderate and high intensity accelerations, and low and high intensity jumps accounted for 91.7% of the variation in weekly relative power assessed via AJ test (p < 0.001). Of those variables, only high intensity jumps were significantly (p = 0.035) different between practices that occurred prior to winning (49.6 ± 26.7) and losing (69.2 ± 39.8) game performances. Additionally, hitting percent was significantly better (.266 ± .190 win; .130 ± .129 loss; p = 0.05) in winning performances.
 Conclusions: Alterations in approach jump performance throughout a competitive season is multifaceted; however, limiting high intensity jumps in practice may be advantageous to optimize volleyball performance.
 
 

Within-week differences in external training load demands in elite volleyball players

“…However, the setter jumped significantly more often than the other players. Sanders et al [ 40 ] quantified volleyball athlete accelerometer-based workloads and used the neuromuscular fatigue jump test to assess on-court performance throughout a competitive season for each practice and competitive game using a validated wearable microsensor device (Catapult Sports). The results indicate that low-intensity decelerations, moderate and high-intensity accelerations and low and high intensity jumps accounted for 91.7% of the differences in weekly relative power.…”