CAF Champions League World

African Stars vs Mangasport 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 60%
Fair odds 1.29
Best odds n/a
Value No market yet

Team comparison: corner stats

AFR African Stars
VS
Mangasport MAN
4.6
Corners for, per match
4.6
4.6
Corners against Lower is better
4.6
9.2
Total match corners
9.2
4.1
First half corners
4.1
1.3
Avg goals for
1.3
45%
Over 2.5 goals Percentage
45%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

54% · odds 1.47

Both teams to score — Yes

49% · odds 1.82

OVER 2.5 goals

49% · odds 1.74

OVER 9.5 corners

48% · odds 1.78

OVER 10.5 corners

42% · odds 2.28

OVER 11.5 corners

36% · odds 3.12

OVER 3.5 goals

31% · odds 4.32

Other CAF Champions League fixtures

The match at a glance

  • Match: African Stars vs Mangasport
  • Competition: CAF Champions League
  • Date and kickoff: Saturday 12 September 2026, 13:00
  • Model pick: Over 7.5 corners at n/a, 60% confidence, 10.0 corners projected
  • African Stars average: 4.6 corners for, 4.6 against per match
  • Mangasport average: 4.6 corners for, 4.6 against per match

Frequently asked questions

What does the model say about corners in African Stars vs Mangasport?
The corneredge.bet model picks over 7.5 corners at 60% confidence. The predicted total across the match is 10.0 corners.
When is African Stars vs Mangasport played?
Kickoff is 09:00 ET on Saturday 12 September 2026. That is 14:00 in the United Kingdom and 15:00 in central Europe.
Which team produces more corners, African Stars or Mangasport?
Across the last 5 matches, African Stars produces 4.6 corners per game. Mangasport produces 4.6 corners across the last 5 fixtures. For corners conceded, African Stars sits at 4.6 per match against 4.6 for Mangasport. 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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