Performance Prediction Equation for 2000 m Youth Indoor Rowing Using a 100 m Maximal Test

Area of Science:

• Sports Science
• Biomechanics
• Rowing Performance Analysis

Background:

• Young Olympic rowing athletes undergo strenuous training, impacting mood and motivation.
• A need exists for a reliable, predictive tool using easily collected data for daily coaching.
• Current methods may not offer the practical applicability required for routine training monitoring.

Purpose of the Study:

• To develop a mathematical model for predicting 2000m rowing performance.
• To utilize a short, maximum-effort 100m indoor rowing ergometer (IRE) test for prediction.
• To establish a reliable and practical tool for young rowers' performance assessment.

Main Methods:

• A sample of 12 junior male rowers (15.9 ± 1.0 years) participated.
• Athletes completed a 100m maximal effort time trial on an IRE.
• A 2000m time trial was conducted 24 hours after the 100m test.

Main Results:

• The developed mathematical model showed a high correlation (r = 0.734, p = 0.006) for predicting 2000m performance.
• The model demonstrated strong reliability (ICC: 0.978) and usable agreement limits.
• Statistical significance was achieved for the model's predictive accuracy.

Conclusions:

• The mathematical model effectively predicts 2000m rowing performance.
• The model is statistically reliable and easy to implement.
• This low-cost tool offers high practical applicability for coaches.