Friendlies World

China vs Maldives Corner Prediction

Updated

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OVER 7.5 corners

Model projects 9.8 total corners (line 7.5, edge +2.3). Home team averages 4.8 corners for, away averages 5.0. League baseline: 10.0. Lean: OVER.

Confidence 64%
Fair odds 1.32
Best odds n/a
Value No market yet

Team comparison: corner stats

China
VS
Maldives MAL
4.4
Corners for, per match
4.8
5.1
Corners against Lower is better
4.8
9.5
Total match corners
9.5
2.0
First half corners
4.3
1.3
Avg goals for
1.5
45%
Over 2.5 goals Percentage
55%
Leader in row Follower

Top picks & predictions: China vs Maldives

OVER 7.5 corners

64% · odds 1.32

OVER 8.5 corners

58% · odds 1.52

Both teams to score — Yes

54% · odds 1.82

OVER 2.5 goals

54% · odds 1.74

OVER 9.5 corners

52% · odds 1.87

OVER 10.5 corners

46% · odds 2.43

OVER 11.5 corners

40% · odds 3.35

OVER 3.5 goals

36% · odds 4.32

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The match at a glance

  • Match: China vs Maldives
  • Competition: Friendlies
  • Date and kickoff: Thursday 24 September 2026, 11:35 UTC
  • Model pick: Over 7.5 corners at n/a, 64% confidence, 9.8 corners projected
  • China average: 4.4 corners for, 5.1 against per match
  • Maldives average: 4.8 corners for, 4.8 against per match

Frequently asked questions

What is the corner prediction for China vs Maldives?
The corneredge.bet model picks over 7.5 corners at 64% confidence. The predicted total across the match is 9.8 corners.
What is the kickoff time for China vs Maldives?
Kickoff is 07:35 ET on Thursday 24 September 2026. That is 12:35 in the United Kingdom and 13:35 in central Europe.
How do China and Maldives compare on corners?
Across the last 7 matches, China produces 4.4 corners per game. Maldives produces 4.8 corners across the last 3 fixtures. For corners conceded, China sits at 5.1 per match against 4.8 for Maldives. 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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