Our prediction system uses machine learning to analyze each athlete's training and race history to predict their performance in upcoming races. The system considers:

• Recent training volume and intensity
• Previous race performances
• Training progression over time
• Race-specific factors (distance, terrain, etc.)

Predictions are updated regularly as new training data becomes available. The accuracy rating shows how close the prediction was to the actual race result.