Media Coverage of the FIFA World Cup 2026 Prediction Project

Our FIFA World Cup 2026 prediction work received extensive media coverage ahead of the tournament’s kick-off on June 11. The project was featured in several German news outlets, including BZ Berlin, Berliner Morgenpost, BILD, rbb24, and Sportschau.

Media Coverage

• BZ Berlin: Berliner Forscher wissen schon, wer die WM gewinnt
• Berliner Morgenpost: Berliner Forscher haben schon errechnet, welches Team die WM gewinnt
• BILD: Berliner Forscher wissen schon, wer Weltmeister wird
• rbb24: Interview zur WM-Prognose und statistischen Modellierung
• Sportschau: Statistiker zur Fußball-WM: Wer Titelchancen hat und wer Geheimfavorit ist

The team at the Freie Universität Berlin combined multiple statistical approaches and evaluated approximately 13,000 international matches since 2012 to generate win probabilities for all 48 competing nations. The methodology integrates Elo ratings, the Dixon–Coles model, and machine-learning approaches including random forests. These estimates feed into a large-scale Monte Carlo simulation that replays the entire tournament 100,000 times.

Key model outputs for the 2026 World Cup:

Germany is projected to reach the Round of 32 with approximately 98% probability and is expected to score around 11 goals over the course of the tournament.

Beyond reporting the tournament forecast itself, several outlets discussed the statistical methodology behind the predictions, the strengths and limitations of forecasting models in football, and how simulation-based approaches can be used to quantify uncertainty in major sporting events.

👉 Explore the full simulation and results here: https://www.wiwiss.fu-berlin.de/wm2026