Friendlies International

Johor Darul Ta'zim vs Chelsea Corner Prediction

Updated 23 hr to kickoff

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OVER 7.5 corners

Model projects 10.3 total corners (line 7.5, edge +2.8). Home team averages 5.0 corners for, away averages 4.9. League baseline: 10.0. Lean: OVER.

Confidence 62%
Fair odds 1.25
Best odds n/a
Value No market yet

Team comparison: corner stats

JOH Johor Darul Ta'zim
VS
Chelsea CHE
4.8
Corners for, per match
5.5
4.8
Corners against Lower is better
5.4
9.5
Total match corners
10.9
4.3
First half corners
4.6
1.5
Avg goals for
1.7
55%
Over 2.5 goals Percentage
58%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

56% · odds 1.41

Both teams to score — Yes

52% · odds 1.51

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OVER 2.5 goals

52% · odds 1.43

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OVER 9.5 corners

50% · odds 1.67

OVER 10.5 corners

44% · odds 2.11

OVER 11.5 corners

38% · odds 2.82

OVER 3.5 goals

34% · odds 2.10

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Other Friendlies fixtures

The match at a glance

  • Match: Johor Darul Ta'zim vs Chelsea
  • Competition: Friendlies
  • Date and kickoff: Sunday 9 August 2026, 12:00
  • Model pick: Over 7.5 corners at n/a, 62% confidence, 10.3 corners projected
  • Johor Darul Ta'zim average: 4.8 corners for, 4.8 against per match
  • Chelsea average: 5.5 corners for, 5.4 against per match

Frequently asked questions

What does the model say about corners in Johor Darul Ta'zim vs Chelsea?
The corneredge.bet model picks over 7.5 corners at 62% confidence. The predicted total across the match is 10.3 corners.
When is Johor Darul Ta'zim vs Chelsea played?
Kickoff is 08:00 ET on Sunday 9 August 2026. That is 13:00 in the United Kingdom and 14:00 in central Europe.
Which team produces more corners, Johor Darul Ta'zim or Chelsea?
Across the last 5 matches, Johor Darul Ta'zim produces 4.8 corners per game. Chelsea produces 5.5 corners across the last 12 fixtures. For corners conceded, Johor Darul Ta'zim sits at 4.8 per match against 5.4 for Chelsea. The two sides are close on corner output.
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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