Peru Liga 1 Peru

Club Deportivo Llacuabamba vs UTC Cajamarca Corner Prediction

Updated

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OVER 7.5 corners

Model projects 10.0 total corners (line 7.5, edge +2.5). Home team averages 5.0 corners for, away averages 5.0. League baseline: 10.0. Lean: OVER.

Confidence 60%
Fair odds 1.29
Best odds n/a
Value n/a

Team comparison: corner stats

CLU Club Deportivo Llacuabamba
VS
UTC Cajamarca UTC
4.4
Corners for, per match
4.4
4.4
Corners against Lower is better
4.4
8.8
Total match corners
8.8
4.0
First half corners
4.0
1.3
Avg goals for
1.3
45%
Over 2.5 goals Percentage
45%
Leader in row Follower

Alternative corner markets

OVER 8.5 corners

54% · odds 1.47

YES 0 corners

49% · odds 1.85

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OVER 2.5 corners

49% · odds 2.01

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OVER 9.5 corners

48% · odds 1.78

OVER 10.5 corners

42% · odds 2.28

OVER 11.5 corners

36% · odds 3.12

OVER 3.5 corners

31% · odds 3.50

Bet →

Other Peru Liga 1 fixtures

The match at a glance

  • Match: Club Deportivo Llacuabamba vs UTC Cajamarca
  • Competition: Peru Liga 1
  • Date and kickoff: Monday 15 June 2026, 18:00
  • Model pick: Over 7.5 corners at n/a, 60% confidence, 10.0 corners projected
  • Club Deportivo Llacuabamba average: 4.4 corners for, 4.4 against per match
  • UTC Cajamarca average: 4.4 corners for, 4.4 against per match

Frequently asked questions

What is the corner prediction for Club Deportivo Llacuabamba vs UTC Cajamarca?
The corneredge.bet model picks over 7.5 corners at 60% confidence. The predicted total across the match is 10.0 corners.
What are the corner averages for Club Deportivo Llacuabamba and UTC Cajamarca?
Across the last 5 matches, Club Deportivo Llacuabamba produces 4.4 corners per game. UTC Cajamarca produces 4.4 corners across the last 5 fixtures. For corners conceded, Club Deportivo Llacuabamba sits at 4.4 per match against 4.4 for UTC Cajamarca. 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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