Brazil Serie B Brazil

Goias EC vs Sport Recife 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 4.8 corners for, away averages 4.5. League baseline: 10.0. Lean: OVER.

Confidence 73%
Fair odds 1.29
Best odds n/a
Value No market yet

Team comparison: corner stats

GOI Goias EC
VS
Sport Recife SPO
4.4
Corners for, per match
4.9
5.4
Corners against Lower is better
5.2
9.9
Total match corners
10.1
4.4
First half corners
4.5
1.0
Avg goals for
1.1
31%
Over 2.5 goals Percentage
31%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

67% · odds 1.48

OVER 9.5 corners

61% · odds 1.79

Both teams to score — No

57% · odds 1.79

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OVER 10.5 corners

55% · odds 2.31

OVER 2.5 goals

52% · odds 2.20

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OVER 11.5 corners

49% · odds 3.16

OVER 3.5 goals

34% · odds 3.89

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Other Brazil Serie B fixtures

The match at a glance

  • Match: Goias EC vs Sport Recife
  • Competition: Brazil Serie B
  • Date and kickoff: Wednesday 22 July 2026, 23:30
  • Model pick: Over 7.5 corners at n/a, 73% confidence, 10.0 corners projected
  • Goias EC average: 4.4 corners for, 5.4 against per match
  • Sport Recife average: 4.9 corners for, 5.2 against per match

Frequently asked questions

What does the model say about corners in Goias EC vs Sport Recife?
The corneredge.bet model picks over 7.5 corners at 73% confidence. The predicted total across the match is 10.0 corners.
What is the kickoff time for Goias EC vs Sport Recife?
Kickoff is 19:30 ET in New York on Wednesday 22 July 2026. That is 00:30 in the United Kingdom and 01:30 in central Europe, both on Thursday 23 July 2026.
What are the corner averages for Goias EC and Sport Recife?
Across the last 16 matches, Goias EC produces 4.4 corners per game. Sport Recife produces 4.9 corners across the last 16 fixtures. For corners conceded, Goias EC sits at 5.4 per match against 5.2 for Sport Recife. 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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