Premier League Egypt

Hamrun Spartans vs Floriana Corner Prediction

Updated 1 days to kickoff

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OVER 7.5 corners

Model projects 9.8 total corners (line 7.5, edge +2.3). Home team averages 5.7 corners for, away averages 5.0. League baseline: 10.0. Lean: OVER.

Confidence 54%
Fair odds 1.31
Best odds n/a
Value No market yet

Team comparison: corner stats

HAM Hamrun Spartans
VS
Floriana FLO
5.3
Corners for, per match
4.5
4.3
Corners against Lower is better
4.5
9.6
Total match corners
9.0
4.3
First half corners
4.1
1.6
Avg goals for
1.5
36%
Over 2.5 goals Percentage
48%
Leader in row Follower

Other markets for this match

OVER 2.5 goals

50% · odds 2.33

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OVER 8.5 corners

48% · odds 1.51

Both teams to score — Yes

47% · odds 1.95

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OVER 9.5 corners

42% · odds 1.85

OVER 10.5 corners

36% · odds 2.40

OVER 3.5 goals

32% · odds 2.88

OVER 11.5 corners

30% · odds 3.30

Other Premier League fixtures

The match at a glance

  • Match: Hamrun Spartans vs Floriana
  • Competition: Premier League
  • Date and kickoff: Saturday 29 August 2026, 16:30
  • Model pick: Over 7.5 corners at n/a, 54% confidence, 9.8 corners projected
  • Hamrun Spartans average: 5.3 corners for, 4.3 against per match
  • Floriana average: 4.5 corners for, 4.5 against per match

Frequently asked questions

What does the model say about corners in Hamrun Spartans vs Floriana?
The corneredge.bet model picks over 7.5 corners at 54% confidence. The predicted total across the match is 9.8 corners.
What is the kickoff time for Hamrun Spartans vs Floriana?
Kickoff is 12:30 ET on Saturday 29 August 2026. That is 17:30 in the United Kingdom and 18:30 in central Europe.
What are the corner averages for Hamrun Spartans and Floriana?
Across the last 20 matches, Hamrun Spartans produces 5.3 corners per game. Floriana produces 4.5 corners across the last 2 fixtures. For corners conceded, Hamrun Spartans sits at 4.3 per match against 4.5 for Floriana. 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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