🏀 Sports Performance Dashboard

This project is a Sports Performance Dashboard built in Power BI to analyze NBA player and team performance using wearable device data and game statistics. The dashboard is divided into three main pages:

1. Player Performance – Radar charts and performance metrics for individual players.
2. Team Strategy – Aggregated team insights, shooting trends, and contributions.
3. Predictive Insights – Data-driven projections and advanced analytics.

---

Features

• Wearable Device Metrics

  • Heart Rate
  • Speed
  • Distance
  • Acceleration

• Game Statistics

  • Shots Made & Attempted
  • Shooting Accuracy
  • Total Points

• Visualizations

  • Radar Charts for player performance profiles
  • Bar & Line Graphs for team strategies and trends
  • Predictive Models (using DAX & Power BI forecasting)

---

Implementation

• Data Collection Synthetic NBA player dataset generated with columns: Player, Team, Date, HeartRate, Speed, Distance, Acceleration, Shots Made, Shots Attempted, Points.

• Data Transformation

  • Data cleaned and reshaped in Power Query.

  • Calculated Columns & Measures created using DAX:

    • Shooting Accuracy = DIVIDE([Shots Made], [Shots Attempted], 0)
    • Total Team Points = SUM(Points)
    • Player Contribution % = DIVIDE([Player Points], [Team Total Points], 0)

• Dashboard Pages

  • Page 1: Player Performance → Radar charts & player KPIs.
  • Page 2: Team Strategy → Aggregated metrics, team strengths, shooting trends.
  • Page 3: Predictive Insights → Forecasting & projections using Power BI.

---

How to Use

1. Clone this repository.

2. Open the .pbix file in Power BI Desktop.

3. Explore the dashboard pages:

   • Player Performance
   • Team Strategy
   • Predictive Insights

---

Repository Structure

📁 Sports-Performance-Dashboard
 ┣ 📊 Sports_Performance_Dataset.xlsx   # Sample dataset  
 ┣ 📄 Sports_Performance_Dashboard.pbix # Power BI report  
 ┣ 📁 images/                           # Dashboard screenshots  
 ┃ ┣ player_performance.png  
 ┃ ┣ team_strategy.png  
 ┃ ┗ predictive_insights.png  
 ┣ 📄 README.md                         # Project documentation  
 

---

Dashboard preview

Player Perfprmance

Team Strategy

Future Improvements

• Integration with real-time wearable device APIs.
• More advanced predictive analytics using Python/R scripts inside Power BI.
• Player comparison reports and injury risk tracking.

---

👨Author

Developed by [Nthabeleng Moleko] 📧 Contact: [nthabelengmoleko0211@gmail.com] 🔗 GitHub: [https://github.com/AnnMoleko]