Ligue 2 France

FC Nantes vs AS Nancy 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 5.0 corners for, away averages 5.0. League baseline: 10.0. Lean: OVER.

Confidence 59%
Fair odds 1.32
Best odds n/a
Value No market yet

Team comparison: corner stats

FC FC Nantes
VS
AS Nancy AS
4.8
Corners for, per match
5.0
4.8
Corners against Lower is better
5.0
9.5
Total match corners
10.0
4.3
First half corners
4.5
1.5
Avg goals for
1.4
55%
Over 2.5 goals Percentage
51%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

53% · odds 1.52

Both teams to score — Yes

51% · odds 1.72

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OVER 2.5 goals

51% · odds 1.86

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OVER 9.5 corners

47% · odds 1.87

OVER 10.5 corners

41% · odds 2.43

OVER 11.5 corners

35% · odds 3.35

OVER 3.5 goals

33% · odds 3.10

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Other Ligue 2 fixtures

The match at a glance

  • Match: FC Nantes vs AS Nancy
  • Competition: Ligue 2
  • Date and kickoff: Monday 7 September 2026, 18:45
  • Model pick: Over 7.5 corners at n/a, 59% confidence, 9.8 corners projected
  • FC Nantes average: 4.8 corners for, 4.8 against per match
  • AS Nancy average: 5.0 corners for, 5.0 against per match

Frequently asked questions

What is the corner prediction for FC Nantes vs AS Nancy?
The corneredge.bet model picks over 7.5 corners at 59% confidence. The predicted total across the match is 9.8 corners.
What time does FC Nantes vs AS Nancy kick off?
Kickoff is 14:45 ET on Monday 7 September 2026. That is 19:45 in the United Kingdom and 20:45 in central Europe.
Which team produces more corners, FC Nantes or AS Nancy?
Across the last 5 matches, FC Nantes produces 4.8 corners per game. AS Nancy produces 5.0 corners across the last 5 fixtures. For corners conceded, FC Nantes sits at 4.8 per match against 5.0 for AS Nancy. 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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