Ligue 2

Boulogne vs Red Star FC 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

BOU Boulogne
VS
Red Star FC RED
5.0
Corners for, per match
5.0
5.0
Corners against Lower is better
5.0
10.0
Total match corners
10.0
4.5
First half corners
4.5
1.4
Avg goals for
1.4
51%
Over 2.5 goals Percentage
51%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

54% · odds 1.47

Both teams to score — Yes

49% · odds 1.87

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OVER 2.5 goals

49% · odds 2.19

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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 3.88

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Other Ligue 2 fixtures

The match at a glance

  • Match: Boulogne vs Red Star FC
  • Competition: Ligue 2
  • Date and kickoff: Friday 21 August 2026, 18:00
  • Model pick: Over 7.5 corners at n/a, 60% confidence, 10.0 corners projected
  • Boulogne average: 5.0 corners for, 5.0 against per match
  • Red Star FC average: 5.0 corners for, 5.0 against per match

Frequently asked questions

What is the corner prediction for Boulogne vs Red Star FC?
The corneredge.bet model picks over 7.5 corners at 60% confidence. The predicted total across the match is 10.0 corners.
What time does Boulogne vs Red Star FC kick off?
Kickoff is 14:00 ET on Friday 21 August 2026. That is 19:00 in the United Kingdom and 20:00 in central Europe.
How do Boulogne and Red Star FC compare on corners?
Across the last 5 matches, Boulogne produces 5.0 corners per game. Red Star FC produces 5.0 corners across the last 5 fixtures. For corners conceded, Boulogne sits at 5.0 per match against 5.0 for Red Star FC. 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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