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This ongoing study investigates the potential effect of pre-training wellness metrics on daily training performance in NCAA Division I men’s soccer players. A custom mobile application was developed to collect daily self-reported wellness data from players prior to their training sessions. The dataset includes 15 wellness indicators (e.g., sleep quality, muscle soreness, stress) paired with GPS-derived training outputs such as high-speed running, accelerations, and session-RPE. To assess whether wellness states influence session-specific performance, we conducted correlation analyses at both the team and individual levels. Preliminary findings indicate no significant correlations between the wellness metrics and training performance to date. As this research continues, the long-term goal is to develop a decision-support tool for coaches to personalize training regimens, reduce injury risk, and optimize athlete readiness.

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Does Wellness Predict Performance? Player-Specific Insights from Daily Monitoring in College Men’s Soccer

  • 会议论文

  • 发表日期：

    2026年

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  • Leili Javadpour,
  • Ashwinth Reddy Kondapalli,
  • Mehdi Khazaeli,
  • Adam Reeves

摘要

This ongoing study investigates the potential effect of pre-training wellness metrics on daily training performance in NCAA Division I men’s soccer players. A custom mobile application was developed to collect daily self-reported wellness data from players prior to their training sessions. The dataset includes 15 wellness indicators (e.g., sleep quality, muscle soreness, stress) paired with GPS-derived training outputs such as high-speed running, accelerations, and session-RPE. To assess whether wellness states influence session-specific performance, we conducted correlation analyses at both the team and individual levels. Preliminary findings indicate no significant correlations between the wellness metrics and training performance to date. As this research continues, the long-term goal is to develop a decision-support tool for coaches to personalize training regimens, reduce injury risk, and optimize athlete readiness.