ImpactMeter v1.0 – HackaMINeD 2026 Submission

ImpactMeter – Context-Aware Cricket Impact Analytics

ImpactMeter is a cricket analytics system that computes a context-aware player impact score using ball-by-ball IPL match data.

The system combines:

• Rule-based cricket domain scoring
• Random Forest machine learning analysis
• Context and pressure-aware feature engineering
• Interactive dashboard visualization

Key Features

• Context-aware impact scoring
• Role-based player evaluation (batter, bowler, all-rounder)
• Rolling impact trend across recent matches
• ML-assisted impact prediction using Random Forest
• Feature importance visualization for explainability

Data Pipeline

Raw IPL JSON
→ Ball-by-ball dataset
→ Feature engineering
→ Rule-based impact score
→ Random Forest ML prediction
→ Interactive dashboard visualization

Live Demo

https://mr-baraiya.github.io/ImpactMeter/

Repository Structure

frontend/ – dashboard UI
notebooks/ – data processing and ML model training
data/ – engineered feature datasets
models/ – ML outputs and feature importance

Hackathon

Project developed for HACKaMINeD 2026 – CricHeroes Impact Metric Challenge.

Team

Team: Jetha Ke Jabaaz
Leader: Vishal Baraiya