Conference League

FC Santa Coloma vs Penybont Corner Prediction

Updated

Kickoff:

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OVER 7.5 corners

Model projects 9.1 total corners (line 7.5, edge +1.6). Home team averages 5.6 corners for, away averages 3.5. League baseline: 10.0. Lean: OVER.

Confidence 68%
Fair odds 1.45
Best odds n/a
Value No market yet

Team comparison: corner stats

FC FC Santa Coloma
VS
Penybont PEN
5.2
Corners for, per match
3.9
4.3
Corners against Lower is better
4.5
9.5
Total match corners
8.4
4.3
First half corners
3.8
1.9
Avg goals for
1.2
50%
Over 2.5 goals Percentage
50%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

62% · odds 1.74

OVER 2.5 goals

62% · odds 2.07

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OVER 9.5 corners

56% · odds 2.22

Both teams to score — Yes

51% · odds 2.02

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OVER 10.5 corners

50% · odds 3.00

OVER 11.5 corners

44% · odds 4.30

OVER 3.5 goals

44% · odds 3.61

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The match at a glance

  • Match: FC Santa Coloma vs Penybont
  • Competition: Conference League
  • Date and kickoff: Thursday 16 July 2026, 17:00
  • Model pick: Over 7.5 corners at n/a, 68% confidence, 9.1 corners projected
  • FC Santa Coloma average: 5.2 corners for, 4.3 against per match
  • Penybont average: 3.9 corners for, 4.5 against per match

Frequently asked questions

How many corners does the model expect in FC Santa Coloma vs Penybont?
The corneredge.bet model picks over 7.5 corners at 68% confidence. The predicted total across the match is 9.1 corners.
What time does FC Santa Coloma vs Penybont kick off?
Kickoff is 13:00 ET on Thursday 16 July 2026. That is 18:00 in the United Kingdom and 19:00 in central Europe.
Which team produces more corners, FC Santa Coloma or Penybont?
Across the last 20 matches, FC Santa Coloma produces 5.2 corners per game. Penybont produces 3.9 corners across the last 20 fixtures. For corners conceded, FC Santa Coloma sits at 4.3 per match against 4.5 for Penybont. The corner battle tilts toward FC Santa Coloma.
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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