Match prediction·World: World Cup·Wednesday 01 Jul, 01:00 UTC

Mexico vs Ecuador

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 1.5 Goals hits 81% probability because combined xG of 2.80 and Mexico's 1.54 attacking threat—led by Giménez's 22% team shot share—overwhelms Ecuador's 1.25 defensive capacity.

📊 Win probability
41.0% home30.8% draw28.2% away
📈 xG chain — base → adjustments → final goal estimate
MexicostepEcuador
1.40Base xG · rolling 26-match1.31
× 1.10Home advantage · Host nation× 0.95
no injury adjustment — full squads available per FotMob
1.54Final goal estimate — what the model uses1.25

Mexico average 5.0 corners per game at home this season (3 competitive matches). Ecuador average 6.7 corners per game this season (3 competitive matches).

🎯 Scoreline distribution · chance of each scoremodel estimate
0
1
2
3
4
5
6
0
6
8
5
2
1
1
9
12
7
3
1
2
7
9
6
2
1
3
4
5
3
1
4
1
2
1
5
1
6
home windrawaway win
Most likely outcomes
Over 1.5 goals
81%
Over 3.5 goals
26%

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

Most likely to score or assist

To score
Santiago Giménez
Mexico · AC Milan
42%
To score
Raúl Jiménez
Mexico · Fulham
40%

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

More predictions for these teams

Mexico vs Ecuador — Head-to-Head

This is the first meeting Bawler has on record between Mexico and Ecuador — 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: Mexico 41% · draw 31% · Ecuador 28%.

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

⚡ Full-time recap available
Mexico 20 Ecuador
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.