Friendlies World

Colombia vs Peru 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 5.8 corners for, away averages 4.3. League baseline: 10.0. Lean: OVER.

Confidence 68%
Fair odds 1.31
Best odds n/a
Value No market yet

Team comparison: corner stats

Colombia
VS
Peru
5.4
Corners for, per match
4.7
4.5
Corners against Lower is better
5.0
9.9
Total match corners
9.7
2.5
First half corners
2.1
1.8
Avg goals for
1.5
50%
Over 2.5 goals Percentage
48%
Leader in row Follower

Top picks & predictions: Colombia vs Peru

OVER 7.5 corners

68% · odds 1.31

OVER 8.5 corners

62% · odds 1.51

OVER 2.5 goals

59% · odds 1.65

Both teams to score — No

57% · odds 1.69

OVER 9.5 corners

56% · odds 1.85

Both teams to score — Yes

55% · odds 1.78

OVER 10.5 corners

50% · odds 2.40

OVER 11.5 corners

44% · odds 3.30

OVER 3.5 goals

41% · odds 3.90

More Friendlies picks & predictions

The match at a glance

  • Match: Colombia vs Peru
  • Competition: Friendlies
  • Date and kickoff: Tuesday 6 October 2026, 23:45 UTC
  • Model pick: Over 7.5 corners at n/a, 68% confidence, 9.8 corners projected
  • Colombia average: 5.4 corners for, 4.5 against per match
  • Peru average: 4.7 corners for, 5.0 against per match

Frequently asked questions

How many corners does the model expect in Colombia vs Peru?
The corneredge.bet model picks over 7.5 corners at 68% confidence. The predicted total across the match is 9.8 corners.
When is Colombia vs Peru played?
Kickoff is 19:45 ET in New York on Tuesday 6 October 2026. That is 00:45 in the United Kingdom and 01:45 in central Europe, both on Wednesday 7 October 2026.
How do Colombia and Peru compare on corners?
Across the last 9 matches, Colombia produces 5.4 corners per game. Peru produces 4.7 corners across the last 7 fixtures. For corners conceded, Colombia sits at 4.5 per match against 5.0 for Peru. 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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