Premier League Egypt

Ghazl El Mahalla vs Pyramids FC Corner Prediction

Updated

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OVER 7.5 corners

Model projects 9.2 total corners (line 7.5, edge +1.7). Home team averages 3.7 corners for, away averages 5.8. League baseline: 10.0. Lean: OVER.

Confidence 68%
Fair odds 1.43
Best odds n/a
Value No market yet

Team comparison: corner stats

GHA Ghazl El Mahalla
VS
Pyramids FC PYR
3.3
Corners for, per match
6.2
4.6
Corners against Lower is better
4.0
7.9
Total match corners
10.2
3.6
First half corners
4.7
0.8
Avg goals for
1.7
39%
Over 2.5 goals Percentage
50%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

62% · odds 1.71

Both teams to score — No

59% · odds 1.61

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OVER 9.5 corners

56% · odds 2.17

OVER 2.5 goals

52% · odds 2.14

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OVER 10.5 corners

50% · odds 2.93

OVER 11.5 corners

44% · odds 4.17

OVER 3.5 goals

34% · odds 3.76

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Other Premier League fixtures

The match at a glance

  • Match: Ghazl El Mahalla vs Pyramids FC
  • Competition: Premier League
  • Date and kickoff: Saturday 22 August 2026, 17:00
  • Model pick: Over 7.5 corners at n/a, 68% confidence, 9.2 corners projected
  • Ghazl El Mahalla average: 3.3 corners for, 4.6 against per match
  • Pyramids FC average: 6.2 corners for, 4.0 against per match

Frequently asked questions

What is the corner prediction for Ghazl El Mahalla vs Pyramids FC?
The corneredge.bet model picks over 7.5 corners at 68% confidence. The predicted total across the match is 9.2 corners.
What is the kickoff time for Ghazl El Mahalla vs Pyramids FC?
Kickoff is 13:00 ET on Saturday 22 August 2026. That is 18:00 in the United Kingdom and 19:00 in central Europe.
How do Ghazl El Mahalla and Pyramids FC compare on corners?
Across the last 33 matches, Ghazl El Mahalla produces 3.3 corners per game. Pyramids FC produces 6.2 corners across the last 26 fixtures. For corners conceded, Ghazl El Mahalla sits at 4.6 per match against 4.0 for Pyramids FC. The corner battle tilts toward Pyramids FC.
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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