Brazil Serie B Brazil

Nautico PE vs Londrina EC Corner Prediction

Updated

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OVER 7.5 corners

Model projects 10.6 total corners (line 7.5, edge +3.1). Home team averages 5.5 corners for, away averages 4.1. League baseline: 10.0. Lean: OVER.

Confidence 77%
Fair odds 1.21
Best odds n/a
Value No market yet

Team comparison: corner stats

NAU Nautico PE
VS
Londrina EC LON
5.1
Corners for, per match
4.5
4.9
Corners against Lower is better
6.9
9.9
Total match corners
11.3
4.5
First half corners
5.1
1.3
Avg goals for
1.5
48%
Over 2.5 goals Percentage
35%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

71% · odds 1.35

OVER 9.5 corners

65% · odds 1.58

OVER 2.5 goals

62% · odds 1.96

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OVER 10.5 corners

59% · odds 1.95

Both teams to score — Yes

55% · odds 1.89

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OVER 11.5 corners

53% · odds 2.57

OVER 3.5 goals

44% · odds 3.36

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Other Brazil Serie B fixtures

The match at a glance

  • Match: Nautico PE vs Londrina EC
  • Competition: Brazil Serie B
  • Date and kickoff: Thursday 23 July 2026, 00:30
  • Model pick: Over 7.5 corners at n/a, 77% confidence, 10.6 corners projected
  • Nautico PE average: 5.1 corners for, 4.9 against per match
  • Londrina EC average: 4.5 corners for, 6.9 against per match

Frequently asked questions

What is the corner prediction for Nautico PE vs Londrina EC?
The corneredge.bet model picks over 7.5 corners at 77% confidence. The predicted total across the match is 10.6 corners.
What time does Nautico PE vs Londrina EC kick off?
Kickoff is 20:30 ET in New York on Wednesday 22 July 2026. That is 01:30 in the United Kingdom and 02:30 in central Europe, both on Thursday 23 July 2026.
How do Nautico PE and Londrina EC compare on corners?
Across the last 16 matches, Nautico PE produces 5.1 corners per game. Londrina EC produces 4.5 corners across the last 16 fixtures. For corners conceded, Nautico PE sits at 4.9 per match against 6.9 for Londrina EC. 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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