# A novel approach to monitoring selective fatigue in female softball athletes: evaluating load-velocity relationship variables and specific performance metrics

## TL;DR

This study explores how bench press load-velocity metrics and softball-specific performance can track fatigue in female athletes, finding they are less sensitive than traditional indicators like blood lactate and RPE.

## Contribution

The paper introduces a novel method for monitoring selective fatigue in female softball athletes using load-velocity relationship variables and sport-specific performance metrics.

## Key findings

- Both training protocols caused significant decreases in v0, Aline, and hit distance.
- LLB induced higher fatigue compared to HLT based on effect sizes.
- Mechanical performance changes were less sensitive than blood lactate and RPE for fatigue monitoring.

## Abstract

The purpose of this study was to assess whether bench press load-velocity (L-V) relationship variables serving as indicators of maximal theoretical force capacity (L
0), maximal theoretical velocity capacity (v

0
), and maximal theoretical power capacity (Aline), as well as the softball-specific performance metrics (hit and throw distance), could be used to effectively monitor the selective fatigue induced by two different bench press training protocols.

The bench press L-V relationship variables and softball-specific performance metrics of 12 professional female softball players were measured on three separate occasions: (I) following passive rest (non-fatigue condition), (II) after light-load ballistic bench press throw (LLB), and (III) after heavy-load traditional bench press (HLT). Additionally, blood lactate and rating of perceived exertion (RPE) were assessed after LLB and HLT training protocols.

A significantly lower v

0
, Aline and hit distance were found after both training protocols (p ≤ 0.008), with the LLB protocol revealing a higher fatigue compared with the HLT protocol. However, the change of L-V relationship variables and softball-specific performance metrics (0.15 ≤ ES ≤ 1.05) were not as sensitive as that of blood lactate and RPE (1.30 ≤ ES ≤ 1.78).

Hence, changes in mechanical performance could be applied as a supplementary monitoring tool to be integrated into athletes’ daily routines, but should not be considered replacements for traditional fatigue indicators.