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2026 FIFA World Cup Winning Guide

AI Model Prediction Accuracy

93.6%

Group Stage

AI Predicted

Due:

Group L · Round 3

06/27 21:00

Panama

Panama

3%

-

14%

-

84%

High

England

England

AI Prediction

England Win

Bet Now

Group L · Round 3

06/27 21:00

Croatia

Croatia

79%

-

17%

-

5%

High

Ghana

Ghana

AI Prediction

Croatia Win

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Group K · Round 3

06/27 23:30

Colombia

Colombia

40%

-

29%

-

31%

Med

Portugal

Portugal

AI Prediction

Colombia Win

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Group K · Round 3

06/27 23:30

DR Congo

DR Congo

32%

-

29%

-

39%

Med

Uzbekistan

Uzbekistan

AI Prediction

Uzbekistan Win

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Group J · Round 3

06/28 02:00

Jordan

Jordan

2%

-

11%

-

87%

High

Argentina

Argentina

AI Prediction

Argentina Win

Bet Now

Group J · Round 3

06/28 02:00

Algeria

Algeria

23%

-

28%

-

49%

Med

Austria

Austria

AI Prediction

Austria Win

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Completed Match Record

AI model Accuracy

93.6%

Group A · Round 3

06/24

Czechia

Czechia

0

-

3

🎉 Correct Prediction

Mexico

Mexico

Group B · Round 3

06/24

Bosnia & Herzegovina

Bosnia & Herzegovina

3

-

1

🎉 Correct Prediction

Qatar

Qatar

Group C · Round 3

06/24

Morocco

Morocco

4

-

2

🎉 Correct Prediction

Haiti

Haiti

Download the Full "Winning Guide" (PDF)

Download the Full "Winning Guide" (PDF)

Predict Skill

Copy the link and open it in your AI assistant to start testing.

Copy the link and open it in your AI assistant to start testing.

Claude

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ChatGPT

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Gemini

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Claude

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Claude

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Gemini

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About The Model

ForeGate 2026 FIFA World Cup Prediction Model

A transparent and explainable statistical model for the 2026 FIFA World Cup. Powered by Elo ratings, the Dixon–Coles model, and Monte Carlo simulations. No machine learning black boxes or bookmaker odds are used, ensuring transparency, reproducibility, and verifiability.

Data Sources: Official FIFA squad lists, World Football Elo Ratings, the official FIFA group-stage draw, and international match history from martj42 (CC0). Ratings are updated daily throughout the tournament.

Backtested on approximately 8,000 real international matches, achieving 57–58% accuracy in win/draw/loss predictions with an ECE of approximately 1.6%. Failed predictions are disclosed transparently. No claims are made of outperforming betting markets.

1

Match-Weighted Elo Ratings

Historical performance + calibrated with recent international matches and squad strength.

2

Dixon–Coles Bivariate Poisson Model

Team ratings → Expected goals → Win/Draw/Loss & scoreline probabilities calculated in real-time.

3

Full Monte Carlo Simulation

10,000 seeded simulations → Qualification & championship probabilities for all 48 participating nations.

Data source: World Football Elo (eloratings.net) · Official FIFA 2026 group stage draw · martj42 international match results (CC0).

Data source: World Football Elo (eloratings.net) · Official FIFA 2026 group stage draw · martj42 international match results (CC0).

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Risk Disclaimer

The probabilities in this model/report are model outputs, not definitive results. Football matches can be affected by injuries, red cards, weather, rotations, in-game tactics, referee decisions, and other random events. This report is intended for event research, content planning, pre-match discussion, and community education only. It does not constitute betting advice, investment advice, or a guarantee of any outcome or profit. Users should consider the latest schedules, starting line-ups, injuries, and market changes before making their own judgments.