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README.md

İddaa Alt/Üst + FotMob Pro Analiz Sistemi

A sophisticated football betting analysis system that combines Poisson distribution, xG data, and FotMob bonus data to predict over/under betting outcomes.

Features

  • Poisson Distribution Analysis: Statistical modeling for goal predictions
  • xG Integration: Expected goals and on-target shots analysis
  • FotMob Bonus Data: Open play vs set piece xG breakdown
  • Betting Predictions: Over/Under 2.5, 3.5 goals and BTTS analysis
  • Power Rankings: Team strength calculations based on attack/defense metrics
  • Multi-format Support: Standard and FotMob detailed formats

Project Structure

├── backend/
│   ├── index.ts          # Main HTTP server
│   └── routes/
│       └── analysis.ts   # Analysis API endpoints
├── frontend/
│   ├── index.html        # Main application interface
│   ├── components/
│   │   ├── App.tsx       # Main React component
│   │   └── AnalysisTable.tsx # Results display
│   └── style.css         # Application styles
└── shared/
    ├── types.ts          # TypeScript interfaces
    └── calculations.ts   # Analysis algorithms

Usage

  1. Upload Excel file with match data
  2. System automatically detects format (Standard or FotMob)
  3. Select week for analysis (predictions available from week 6+)
  4. View power rankings and betting recommendations
  5. Export results in various formats

Data Formats Supported

FotMob Detailed Format

  • Home_Beklenen_Goller_xG
  • Away_Beklenen_Goller_xG
  • Home_Isabetli_Suttan_xG
  • Away_Isabetli_Suttan_xG
  • Home_Acik_Oyun_xG (bonus)
  • Home_Duran_Toptan_xG (bonus)

Standard Format

  • Home_Beklenen_Goller_xG
  • Away_Beklenen_Goller_xG
  • Home_Isabetli_Suttan_xG (optional)
  • Away_Isabetli_Suttan_xG (optional)

Methodology

  1. Attack Strength: Team goal average ÷ League average
  2. Defense Strength: Team goals conceded ÷ League goals conceded average
  3. Adjusted Goal Average: Attack Strength × Opponent Defense Strength × League Average
  4. On-target Shot xG: More accurate predictions using shot accuracy data
  5. Over/Under Analysis: Statistical probabilities for 2.5 and 3.5 goals
  6. BTTS Analysis: Both teams to score probability calculations
Code
backendfrontendsharedREADME.md
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