Form Book: The Final Four - A Statistical Profile Of The 2026 World Cup SemiFinalists

The 2026 World Cup has reached its final four for the first time since 1962 with the world's top-ranked teams all advancing: France, Spain, England, and Argentina. The semifinal matchups are the bracket the world wanted — Mbappé vs Yamal, Kane vs Messi, two World Cup champions colliding with two challengers hunting a second or third star. This Form Book is a statistical profile of those four teams, built from the actual numbers of the 2026 tournament: every goal, every xG, every shot on target, every pass completed, every minute played in extra time. The headline finding is that the better defence usually wins a one-off, and the data backs it up: France (2 goals conceded) and Spain (5) have been defensively dominant, while England and Argentina have leaked enough to make every knockout game close. The document covers four angles in seven pages: a tournament-wide stat grid with each team's national color, head-to-head tactical profiles with pitch-drawings of each side's shape, a final prediction: France 1-0 Argentina, Mbappé 64', a full nomenclature glossary explaining every analytics term in plain language for non-experts, and a license-and-repository section with APA and BibTeX citations. The underlying Python prediction engine, the per-90 player data, and the form trajectory data are all open source under Apache 2.0 at github.com/lordxmen2k/World-Cup-2026-Winner-Prediction-Model, so you can run the model yourself, swap in your own data, and call predictor.predict("France vs Argentina") to see the numbers update. The data is real. The picks are honest. The model is yours to break.