Monte Carlo simulation · Dixon-Coles bivariate Poisson model · 500,000 simulated finals · MetLife Stadium (neutral) · 19 July 2026
The headline: this is close to a coin flip with Spain a slight favourite. Both are the two highest-rated teams on the planet, separated by only 32 Elo points. That thin margin — not the goals, not the flags — is what tilts the trophy toward Spain in the long run of simulations.
Regulation-only outcome: Spain win 39.8% · draw 29.5% · Argentina win 30.7%. Extra time and shootouts then split the draws, most of them near-evenly, which is why the final margin stays tight.
A 1-1 draw is the single most likely 90-minute result — fitting for two elite, well-matched sides — which is exactly why extra time and penalties carry real weight here.
The best-validated approach for predicting football scores and results is a Poisson goal model, and the field's benchmark refinement is the Dixon-Coles (1997) model. It treats each team's goals as a Poisson process driven by attack/defence strength, then adds a correction for the well-documented fact that basic Poisson under-predicts tight low scores (0-0, 1-0, 1-1). This is the same family of models used by professional rating systems and betting markets.
Team strength here comes from World Football Elo ratings, the rating system that best separates international sides:
| Team | Elo (Jul 2026) | World rank | Model xG |
|---|---|---|---|
| 🇪🇸 Spain | 2232 | #1 | 1.40 |
| 🇦🇷 Argentina | 2200 | #2 | 1.20 |
The 32-point gap gives Spain an Elo expected result of 0.546 at a neutral venue. Each team's expected goals (λ) were calibrated so the model's regulation win/draw/loss probabilities reproduce that Elo expectation — then the full knockout format (90' → 30' extra time → penalties) was simulated 500,000 times.
Very. Re-running the model across a wide range of assumptions about how many goals the final produces barely moves the needle, because the win probability is anchored to the Elo gap rather than to the scoring rate:
| Assumed total goals | Spain win | Argentina win |
|---|---|---|
| 2.2 (very tight) | 55.8% | 44.2% |
| 2.4 | 55.7% | 44.3% |
| 2.6 (base case) | 55.7% | 44.3% |
| 2.8 | 55.7% | 44.3% |
| 3.0 (open game) | 55.5% | 44.5% |