Match prediction·World: World Cup·Friday 26 Jun, 19:00 UTC

Norway vs France

Bawler weighs each team's recent scoring and defending, then adjusts for home advantage and injuries to work out how this match is likely to go. This page shows the full chain — every number we used.

Why the model calls it this way

Over 2.5 Goals dominates at 75% probability because France's 1.63 xG and Norway's 1.25 xG combine for 2.88 expected tallies, with Mbappé and Haaland both primed to contribute in a fixture France edges 43% to win.

📊 Win probability
23.2% home29.2% draw47.5% away
📈 xG chain — base → adjustments → final goal estimate
NorwaystepFrance
1.16Base xG · rolling 26-match1.73
no injury adjustment — full squads available per FotMob
1.16Final goal estimate — what the model uses1.73

Norway average 4.5 corners per game at home this season (2 competitive matches). France average 4.5 corners per game this season (4 competitive matches).

🎯 Scoreline distribution · chance of each scoremodel estimate
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home windrawaway win
Most likely outcomes
Over 2.5 goals
75%
Under 2.5 goals
25%

Model probabilities for this fixture, ordered by likelihood. Estimates from rolling expected goals — not guarantees.

Most likely to score or assist

To score
Erling Haaland
Norway · Man City
62%
To score
Kylian Mbappé
France · Real Madrid
55%
To score
Alexander Sørloth
Norway · Atletico Madrid
42%

Probabilities from a per-player model on recent form and minutes played.

More predictions for these teams

Norway vs France — Head-to-Head

This is the first meeting Bawler has on record between Norway and France — the model's ledger starts at model launch, so no earlier fixtures between these two sides have been logged and settled yet.

The model's verdict for this fixture: Norway 23% · draw 29% · France 48%.

Model probabilities are estimates, not guarantees — past results do not decide future ones.

⚡ Full-time recap available
Norway 14 France
See how the model called it · call-by-call verdict · xG vs actual →
More match predictions ▶

Model estimates from rolling expected goals — not guaranteed outcomes. Past accuracy does not guarantee future results.