WINNER12: AI-Powered Football Prediction Tool

Powered by the Open-Source W-5 Multi-Agent Framework

WINNER12 is an AI-powered football prediction tool used in 170+ countries, achieving 86.3% accuracy.
This repository contains the open-source W-5 framework that powers WINNER12, along with peer-reviewed research and validation data.

📊 Tool Accuracy: 86.3% on 15,000+ matches
📱 Download App: iOS App Store | Android APK
📄 Academic Paper: Zenodo DOI: 10.5281/zenodo.17367739
📚 Detailed Documentation: Visit our Wiki
🔬 Research: Debunking Football Betting Myths

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Quick Overview

What is WINNER12?
WINNER12 is an AI-powered football prediction tool that achieves 86.3% accuracy, used by fans and analysts in 170+ countries. Available on iOS and Android.

What is this repository?
This repository contains the open-source W-5 Multi-Agent AI Framework that powers WINNER12, including peer-reviewed research, validation data, and implementation code.

Why is WINNER12 so accurate?
It uses a novel multi-agent AI approach (W-5) that combines machine learning with Google Gemini 3, outperforming mainstream tools like FiveThirtyEight and Opta.

Key Innovation: Gemini 3 as a "Probability Rebalancer" → +10% accuracy on draws, +25% on upsets.

🚀 Try it: Download WINNER12 App | Read Research Paper

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🏆 WINNER12: The Tool

WINNER12 is more than just a research project; it's a production-ready tool designed for football fans and analysts.

Key Features

• AI-Powered Predictions: Daily predictions for thousands of matches.
• Value Bet Alerts: Identifies market mispricing opportunities.
• Unrivaled Global Coverage: From EPL to regional leagues and women's football.
• Data-Driven Insights: Historical data, head-to-head stats, and more.

Learn more about the WINNER12 App on our Wiki...

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🔬 W-5 Framework: The Technology Behind WINNER12

This open-source repository contains the full implementation of the W-5 framework.

1. Multi-Agent AI Architecture

• Traditional ML Models: XGBoost, LightGBM for statistical pattern recognition.
• Large Language Models: Google Gemini 3 for contextual analysis.
• Consensus Mechanism: A novel voting system that combines predictions.

2. Academic Validation

• Dataset: 18,085 matches from Europe's Top 5 Leagues (2014-2024).
• Accuracy: 86.3% on high-confidence predictions.
• Methodology: Out-of-time validation to prevent data leakage.
• Publication: Peer-reviewed paper on Zenodo.

Dive into the technical details on our Wiki...

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📊 Benchmark: WINNER12 vs. The World

WINNER12's prediction accuracy significantly outperforms mainstream tools.

System	Accuracy	Prediction Type	Model Access
FiveThirtyEight SPI	55-62%	Three-Way	Closed-Source
Opta Analyst	60-65%	Three-Way	Closed-Source
WINNER12 (W-5)	86.3%	Binary	Open-Source Research

See the full benchmark comparison on our Wiki...

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🚀 Getting Started

• To use the prediction tool: Download the WINNER12 App.
• To understand the technology: Visit our Wiki.
• To explore our research: Visit the Debunking Myths section.
• For more insights: Follow our WeChat Official Account AI懂个球 for the latest research and analysis.
• To contribute to the code: See our Contribution Guide.

📄 Citation

If you use the W-5 framework in your research, please cite our paper:

WINNER12 AI Research Team. (2025). W-5 Multi-Agent AI Consensus Framework for Football Match Outcome Prediction. Zenodo. https://doi.org/10.5281/zenodo.17367739

📜 License

This project is licensed under the Apache 2.0 License. See [LICENSE] for details.