| title | emoji | colorFrom | colorTo | sdk | sdk_version | app_file | pinned |
|---|---|---|---|---|---|---|---|
Cricket-Prophet |
💻 |
indigo |
green |
streamlit |
1.29.0 |
serve.py |
false |
Predict cricket scores with accuracy beyond traditional encounter-based or runrate-based predictions!
- Live score scraping: Stays up-to-date with real-time match data.
- Intelligent prediction: Leverages a Random Forest model for comprehensive analysis.
- Factors beyond run rate: Considers wickets left, last 5 overs, and more for precise predictions.
- Comprehensive metrics: Track MSE: 11.68, R2: 80% for T20 and MSE: 20.44, R2: 85% for ODI formats.
- Explore the app: https://cricket-prophet.streamlit.app/
- Live score scraping: Fetches live match data from CricBuzz.
- Feature engineering: Extracts relevant features from the match data and tried to predict deviation of score from projected score
- Model prediction: Applies a pre-trained Random Forest model to predict the final score.
- Visualization: Displays predictions and insights clearly.
Refer to the below table, think of variance as MSE of projected score
| Format | Measuring after n balls played | Variance (Train) | Variance (Test) | Model MSE (Train) | Model MSE (Test) |
|---|---|---|---|---|---|
| T20 | 30 | 498.41 | 514.90 | 9.02 | 9.26 |
| T20 | 60 | 218.03 | 234.74 | 5.73 | 5.89 |
| T20 | 90 | 80.19 | 82.53 | 3.82 | 3.79 |
| ODI | 120 | 745.17 | 702.39 | 13.28 | 13.97 |
| ODI | 180 | 360.02 | 358.21 | 9.12 | 9.83 |
| ODI | 240 | 134.28 | 125.87 | 4.33 | 5..06 |
ODI Format
- Correlation matrix:
- Feature importance:
- Evaluation:
T20 Format
- Correlation matrix:
- Feature importance:
- Evaluation:
