Conference League

FC Santa Coloma vs Rapid Vienna Corner Prediction

Updated

Kickoff:

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OVER 7.5 corners

Model projects 9.8 total corners (line 7.5, edge +2.3). Home team averages 5.6 corners for, away averages 4.7. League baseline: 10.0. Lean: OVER.

Confidence 68%
Fair odds 1.32
Best odds n/a
Value No market yet

Team comparison: corner stats

FC FC Santa Coloma
VS
Rapid Vienna RAP
5.2
Corners for, per match
5.0
4.3
Corners against Lower is better
5.0
9.5
Total match corners
10.0
4.3
First half corners
4.5
1.9
Avg goals for
1.7
50%
Over 2.5 goals Percentage
62%
Leader in row Follower

Other markets for this match

OVER 2.5 goals

62% · odds 1.46

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OVER 8.5 corners

62% · odds 1.52

Both teams to score — Yes

57% · odds 1.80

Bet →

OVER 9.5 corners

56% · odds 1.87

OVER 10.5 corners

50% · odds 2.43

OVER 3.5 goals

44% · odds 2.18

Bet →

OVER 11.5 corners

44% · odds 3.35

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The match at a glance

  • Match: FC Santa Coloma vs Rapid Vienna
  • Competition: Conference League
  • Date and kickoff: Thursday 23 July 2026, 17:00
  • Model pick: Over 7.5 corners at n/a, 68% confidence, 9.8 corners projected
  • FC Santa Coloma average: 5.2 corners for, 4.3 against per match
  • Rapid Vienna average: 5.0 corners for, 5.0 against per match

Frequently asked questions

How many corners does the model expect in FC Santa Coloma vs Rapid Vienna?
The corneredge.bet model picks over 7.5 corners at 68% confidence. The predicted total across the match is 9.8 corners.
What is the kickoff time for FC Santa Coloma vs Rapid Vienna?
Kickoff is 13:00 ET on Thursday 23 July 2026. That is 18:00 in the United Kingdom and 19:00 in central Europe.
What are the corner averages for FC Santa Coloma and Rapid Vienna?
Across the last 20 matches, FC Santa Coloma produces 5.2 corners per game. Rapid Vienna produces 5.0 corners across the last 5 fixtures. For corners conceded, FC Santa Coloma sits at 4.3 per match against 5.0 for Rapid Vienna. 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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