Peru Liga 1 Peru

Cienciano vs Deportivo Garcilaso Corner Prediction

Updated 6.9 hr to kickoff

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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

CIE Cienciano
VS
Deportivo Garcilaso DEP
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 2.01

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OVER 2.5 corners

49% · odds 2.34

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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 4.25

Bet →

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The match at a glance

  • Match: Cienciano vs Deportivo Garcilaso
  • Competition: Peru Liga 1
  • Date and kickoff: Sunday 21 June 2026, 23:00
  • Model pick: Over 7.5 corners at n/a, 60% confidence, 10.0 corners projected
  • Cienciano average: 4.4 corners for, 4.4 against per match
  • Deportivo Garcilaso average: 4.4 corners for, 4.4 against per match

Frequently asked questions

What is the corner prediction for Cienciano vs Deportivo Garcilaso?
The corneredge.bet model picks over 7.5 corners at 60% confidence. The predicted total across the match is 10.0 corners.
When is Cienciano vs Deportivo Garcilaso played?
Kickoff is 19:00 ET in New York on Sunday 21 June 2026. That is 00:00 in the United Kingdom and 01:00 in central Europe, both on Monday 22 June 2026.
What are the corner averages for Cienciano and Deportivo Garcilaso?
Across the last 5 matches, Cienciano produces 4.4 corners per game. Deportivo Garcilaso produces 4.4 corners across the last 5 fixtures. For corners conceded, Cienciano sits at 4.4 per match against 4.4 for Deportivo Garcilaso. 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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