Dataset: Athlete Injury And Performance Dataset

About this Dataset

Athlete Injury And Performance Dataset

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.

Features Overview

Athlete Information
Athlete_ID: Unique identifier for each athlete (e.g., A001, A002).
Age: Athlete's age (18–25 years).
Gender: Gender of the athlete (Male/Female).
Height_cm: Height of the athlete in centimeters (160–200 cm).
Weight_kg: Weight of the athlete in kilograms (55–100 kg).
Position: Playing position in the team (Guard, Forward, Center).
Training Information
Training_Intensity: Average intensity of training sessions on a scale of 1 (low) to 10 (high).
Training_Hours_Per_Week: Total hours of training per week (5–20 hours).
Recovery_Days_Per_Week: Number of days dedicated to recovery per week (1–3 days).
Schedule Information
Match_Count_Per_Week: Number of matches scheduled per week (1–4 matches).
Rest_Between_Events_Days: Average rest days between matches (1–3 days).
Derived Features
Load_Balance_Score: A calculated score (0–100) indicating the balance between training load and recovery. A higher score reflects a better balance.
ACL_Risk_Score: Predicted risk score (0–100) for ACL injuries. A higher score indicates a greater risk of injury.
Injury Information
Injury_Indicator: Target column indicating whether the athlete sustained an ACL injury (1 = Yes, 0 = No).
Performance Metrics
Fatigue_Score: Subjective fatigue level on a scale of 1 (low) to 10 (high).
Performance_Score: Composite performance score (50–100) based on metrics like points scored and assists.
Team_Contribution_Score: Athlete’s overall contribution to the team’s success on a scale of 50–100.

Tables

Collegiate Athlete Injury Dataset

@kaggle.ziya07_athlete_injury_and_performance_dataset.collegiate_athlete_injury_dataset

16.49 KB
200 rows
17 columns


CREATE TABLE collegiate_athlete_injury_dataset (
  "athlete_id" VARCHAR,
  "age" BIGINT,
  "gender" VARCHAR,
  "height_cm" BIGINT,
  "weight_kg" BIGINT,
  "position" VARCHAR,
  "training_intensity" BIGINT,
  "training_hours_per_week" BIGINT,
  "recovery_days_per_week" BIGINT,
  "match_count_per_week" BIGINT,
  "rest_between_events_days" BIGINT,
  "fatigue_score" BIGINT,
  "performance_score" BIGINT,
  "team_contribution_score" BIGINT,
  "load_balance_score" BIGINT,
  "acl_risk_score" BIGINT,
  "injury_indicator" BIGINT
);