Individualized Z-Score Classification of Jump Load and Its Association With Countermovement Jump Performance Throughout a Division I Volleyball Season

ABSTRACT: Sanders, GJ, Stampley, J, Parker, B, Skodinski, S, and Peacock, CA. Individualized Z-score classification of jump load and its association with countermovement jump performance throughout a Division I volleyball season. J Strength Cond Res XX(X): 000-000, 2026-The countermovement jump (CMJ) is commonly used to assess neuromuscular performance, yet it remains unclear whether day-to-day deviations in jump-derived workload meaningfully influence next-day CMJ outcomes in volleyball. This study examined whether individualized z-score classifications, reflecting how daily Player Load and jump counts deviated from each athlete's typical workload, were associated with changes in next-morning CMJ performance across an NCAA Division I female volleyball season. Fourteen Division I female volleyball athletes (20.6 ± 1.1 years, 182.3 ± 8.2 cm) were monitored throughout a competitive season. External workloads were collected during all practices and matches, and CMJ performance was assessed using dual force plates. Z-scores were calculated for player load and low, medium, high, and total jump counts, then categorized as low (z < -0.5), moderate (-0.5 ≤ z ≤ 0.5), or high (z > 0.5). Z-score binning significantly differentiated workload exposure (P ≤ 0.045 for all), with large effect sizes for Player Load (ηp2 ≥ 0.17) and total jump counts (ηp2 ≥ 0.161) and other jump intensity count categories. By contrast, all CMJ variables including demonstrated trivial effect sizes (ηp2 < 0.015) and no significant differences across workload classifications. Correlations between workload z-scores and CMJ metrics were uniformly not significant (P ≥ 0.130). Individualized z-score classifications of jump-based workloads were not associated with next-day CMJ performance changes in Division I female volleyball athletes, suggesting typical in-season workload variation may be insufficient to disrupt neuromuscular status detectable by CMJ testing.

Authors

Institutions

Publication Details

Journal
The Journal of Strength and Conditioning Research
Published
2026-06-16
DOI
https://doi.org/10.1519/jsc.0000000000005560
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Individualized Z-Score Classification of Jump Load and Its Association With Countermovement Jump Performance Throughout a Division I Volleyball Season

Corey A. Peacock, Gabriel J. Sanders, Stacie Skodinski, Ben Parker et al.
The Journal of Strength and Conditioning Research
Sports Performance and Training
article

Individualized Z-Score Classification of Jump Load and Its Association With Countermovement Jump Performance Throughout a Division I Volleyball Season

Corey A. Peacock, Gabriel J. Sanders, Stacie Skodinski, Ben Parker, James Stampley
article en

Abstract

ABSTRACT: Sanders, GJ, Stampley, J, Parker, B, Skodinski, S, and Peacock, CA. Individualized Z-score classification of jump load and its association with countermovement jump performance throughout a Division I volleyball season. J Strength Cond Res XX(X): 000-000, 2026-The countermovement jump (CMJ) is commonly used to assess neuromuscular performance, yet it remains unclear whether day-to-day deviations in jump-derived workload meaningfully influence next-day CMJ outcomes in volleyball. This study examined whether individualized z-score classifications, reflecting how daily Player Load and jump counts deviated from each athlete's typical workload, were associated with changes in next-morning CMJ performance across an NCAA Division I female volleyball season. Fourteen Division I female volleyball athletes (20.6 ± 1.1 years, 182.3 ± 8.2 cm) were monitored throughout a competitive season. External workloads were collected during all practices and matches, and CMJ performance was assessed using dual force plates. Z-scores were calculated for player load and low, medium, high, and total jump counts, then categorized as low (z < -0.5), moderate (-0.5 ≤ z ≤ 0.5), or high (z > 0.5). Z-score binning significantly differentiated workload exposure (P ≤ 0.045 for all), with large effect sizes for Player Load (ηp2 ≥ 0.17) and total jump counts (ηp2 ≥ 0.161) and other jump intensity count categories. By contrast, all CMJ variables including demonstrated trivial effect sizes (ηp2 < 0.015) and no significant differences across workload classifications. Correlations between workload z-scores and CMJ metrics were uniformly not significant (P ≥ 0.130). Individualized z-score classifications of jump-based workloads were not associated with next-day CMJ performance changes in Division I female volleyball athletes, suggesting typical in-season workload variation may be insufficient to disrupt neuromuscular status detectable by CMJ testing.

The Journal of Strength and Conditioning Research
University of South Carolina (US), Nova Southeastern University (US), University of Cincinnati (US), University of Cincinnati Medical Center (US)
Gender equality
Openalex Percentile: Top 6%
Sports Performance and Training
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.