World Cup

Mexico vs England Corner Prediction

Updated

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OVER 7.5 corners

Model projects 10.0 total corners (line 7.5, edge +2.5). Home team averages 5.0 corners for, away averages 5.0. League baseline: 10.0. Lean: OVER.

Confidence 55%
Fair odds 1.29
Best odds n/a
Value n/a

Team comparison: corner stats

Mexico
VS
England
5.4
Corners for, per match
6.8
4.8
Corners against Lower is better
3.6
10.2
Total match corners
10.4
2.4
First half corners
3.1
1.9
Avg goals for
1.3
50%
Over 2.5 goals Percentage
60%
Leader in row Follower

Alternative corner markets

NO 0 corners

49% · odds 1.72

Bet →

OVER 8.5 corners

49% · odds 1.47

OVER 9.5 corners

43% · odds 1.78

OVER 10.5 corners

37% · odds 2.28

OVER 2.5 corners

33% · odds 2.49

Bet →

OVER 11.5 corners

31% · odds 3.12

OVER 3.5 corners

15% · odds 4.71

Bet →

Other World Cup fixtures

The match at a glance

  • Match: Mexico vs England
  • Competition: World Cup
  • Date and kickoff: Monday 6 July 2026, 00:00
  • Model pick: Over 7.5 corners at n/a, 55% confidence, 10.0 corners projected
  • Mexico average: 5.4 corners for, 4.8 against per match
  • England average: 6.8 corners for, 3.6 against per match

Frequently asked questions

What is the corner prediction for Mexico vs England?
The corneredge.bet model picks over 7.5 corners at 55% confidence. The predicted total across the match is 10.0 corners.
What time does Mexico vs England kick off?
Kickoff is 20:00 ET in New York on Sunday 5 July 2026. That is 01:00 in the United Kingdom and 02:00 in central Europe, both on Monday 6 July 2026.
Which team produces more corners, Mexico or England?
Across the last 8 matches, Mexico produces 5.4 corners per game. England produces 6.8 corners across the last 1 fixtures. For corners conceded, Mexico sits at 4.8 per match against 3.6 for England. The corner battle tilts toward England.
Page last updated: . Predictions, odds and team stats refresh automatically. Sources: Fixture data and team statistics from API-Football. Odds from the sportsbooks we track. Methodology: see how the model works.
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