Peru Liga 1 Peru

FC Cusco vs UTC Cajamarca Corner Prediction

Updated

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OVER 7.5 corners

Model projects 8.9 total corners (line 7.5, edge +1.3). Home team averages 3.8 corners for, away averages 4.2. League baseline: 10.0. Lean: OVER.

Confidence 66%
Fair odds 1.51
Best odds n/a
Value No market yet

Team comparison: corner stats

FC FC Cusco
VS
UTC Cajamarca UTC
3.4
Corners for, per match
4.6
4.2
Corners against Lower is better
5.1
7.6
Total match corners
9.7
3.5
First half corners
4.5
1.2
Avg goals for
1.2
53%
Over 2.5 goals Percentage
53%
Leader in row Follower

Other markets for this match

OVER 2.5 goals

61% · odds 1.83

Bet →

OVER 8.5 corners

60% · odds 1.84

OVER 9.5 corners

54% · odds 2.38

Both teams to score — Yes

53% · odds 1.89

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OVER 10.5 corners

48% · odds 3.28

OVER 3.5 goals

43% · odds 3.04

Bet →

OVER 11.5 corners

42% · odds 4.76

Other Peru Liga 1 fixtures

The match at a glance

  • Match: FC Cusco vs UTC Cajamarca
  • Competition: Peru Liga 1
  • Date and kickoff: Saturday 1 August 2026, 23:00
  • Model pick: Over 7.5 corners at n/a, 66% confidence, 8.8 corners projected
  • FC Cusco average: 3.4 corners for, 4.2 against per match
  • UTC Cajamarca average: 4.6 corners for, 5.1 against per match

Frequently asked questions

What is the corner prediction for FC Cusco vs UTC Cajamarca?
The corneredge.bet model picks over 7.5 corners at 66% confidence. The predicted total across the match is 8.9 corners.
What is the kickoff time for FC Cusco vs UTC Cajamarca?
Kickoff is 19:00 ET in New York on Saturday 1 August 2026. That is 00:00 in the United Kingdom and 01:00 in central Europe, both on Sunday 2 August 2026.
How do FC Cusco and UTC Cajamarca compare on corners?
Across the last 17 matches, FC Cusco produces 3.4 corners per game. UTC Cajamarca produces 4.6 corners across the last 17 fixtures. For corners conceded, FC Cusco sits at 4.2 per match against 5.1 for UTC Cajamarca. The corner battle tilts toward UTC Cajamarca.
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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