<h1>About Dataset</h1>

<p>

This dataset is designed to analyze the impact of complex scheduling algorithms on injury rates and athletic performance in a collegiate sports environment.

It provides synthetic but realistic data for athletes, capturing their demographics, training regimes, schedules, fatigue levels, and injury risks.

</p>

<h2>Features Overview</h2>

<h3>Athlete Information</h3>

<ul>

  <li><strong>Athlete_ID:</strong> Unique identifier for each athlete (e.g., A001, A002)</li>

  <li><strong>Age:</strong> Athlete's age (18–25 years)</li>

  <li><strong>Gender:</strong> Gender of the athlete (Male/Female)</li>

  <li><strong>Height_cm:</strong> Height in centimeters (160–200 cm)</li>

  <li><strong>Weight_kg:</strong> Weight in kilograms (55–100 kg)</li>

  <li><strong>Position:</strong> Playing position (Guard, Forward, Center)</li>

</ul>

<h3>Training Information</h3>

<ul>

  <li><strong>Training_Intensity:</strong> Average session intensity (1 = low, 10 = high)</li>

  <li><strong>Training_Hours_Per_Week:</strong> Total training hours per week (5–20 hours)</li>

  <li><strong>Recovery_Days_Per_Week:</strong> Recovery days per week (1–3 days)</li>

</ul>

<h3>Schedule Information</h3>

<ul>

  <li><strong>Match_Count_Per_Week:</strong> Matches per week (1–4 matches)</li>

  <li><strong>Rest_Between_Events_Days:</strong> Average rest days between matches (1–3 days)</li>

</ul>

<h3>Derived Features</h3>

<ul>

  <li><strong>Load_Balance_Score:</strong> Score (0–100) indicating the balance between training and recovery</li>

  <li><strong>ACL_Risk_Score:</strong> Predicted risk score (0–100) for ACL injury</li>

</ul>

<h3>Injury Information</h3>

<ul>

  <li><strong>Injury_Indicator:</strong> 1 if athlete sustained an ACL injury, 0 otherwise</li>

</ul>

<h3>Performance Metrics</h3>

<ul>

  <li><strong>Fatigue_Score:</strong> Subjective fatigue level (1 = low, 10 = high)</li>

  <li><strong>Performance_Score:</strong> Composite score (50–100) based on points, assists, etc.</li>

  <li><strong>Team_Contribution_Score:</strong> Overall contribution to team success (50–100)</li>

</ul>