Friendlies International

Chelsea vs AC Milan Corner Prediction

Updated 2 days to kickoff

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OVER 7.5 corners

Model projects 9.9 total corners (line 7.5, edge +2.4). Home team averages 6.1 corners for, away averages 3.9. League baseline: 10.0. Lean: OVER.

Confidence 72%
Fair odds 1.31
Best odds n/a
Value No market yet

Team comparison: corner stats

CHE Chelsea
VS
AC Milan AC
5.5
Corners for, per match
4.3
5.4
Corners against Lower is better
4.3
10.9
Total match corners
8.6
4.6
First half corners
4.0
1.7
Avg goals for
1.4
58%
Over 2.5 goals Percentage
45%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

66% · odds 1.50

OVER 2.5 goals

62% · odds 1.42

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OVER 9.5 corners

60% · odds 1.83

OVER 10.5 corners

54% · odds 2.37

Both teams to score — Yes

54% · odds 1.43

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OVER 11.5 corners

48% · odds 3.26

OVER 3.5 goals

44% · odds 2.08

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Other Friendlies fixtures

The match at a glance

  • Match: Chelsea vs AC Milan
  • Competition: Friendlies
  • Date and kickoff: Saturday 8 August 2026, 12:00
  • Model pick: Over 7.5 corners at n/a, 72% confidence, 9.9 corners projected
  • Chelsea average: 5.5 corners for, 5.4 against per match
  • AC Milan average: 4.3 corners for, 4.3 against per match

Frequently asked questions

What is the corner prediction for Chelsea vs AC Milan?
The corneredge.bet model picks over 7.5 corners at 72% confidence. The predicted total across the match is 9.9 corners.
When is Chelsea vs AC Milan played?
Kickoff is 08:00 ET on Saturday 8 August 2026. That is 13:00 in the United Kingdom and 14:00 in central Europe.
How do Chelsea and AC Milan compare on corners?
Across the last 12 matches, Chelsea produces 5.5 corners per game. AC Milan produces 4.3 corners across the last 38 fixtures. For corners conceded, Chelsea sits at 5.4 per match against 4.3 for AC Milan. The corner battle tilts toward Chelsea.
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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