Qatar QSL Qatar

Al-Shahaniya vs Al Sailiya 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 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 No market yet

Team comparison: corner stats

AL- Al-Shahaniya
VS
Al Sailiya AL
5.0
Corners for, per match
5.0
5.0
Corners against Lower is better
5.0
10.0
Total match corners
10.0
4.5
First half corners
4.5
1.4
Avg goals for
1.4
51%
Over 2.5 goals Percentage
51%
Leader in row Follower

Other markets for this match

OVER 8.5 corners

54% · odds 1.47

Both teams to score — Yes

49% · odds 1.65

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OVER 2.5 goals

49% · odds 1.77

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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 goals

31% · odds 2.90

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Other Qatar QSL fixtures

Thu 16:30

Al-Wakrah vs Al Rayyan
Fri 16:30

Qatar vs Al Sadd

The match at a glance

  • Match: Al-Shahaniya vs Al Sailiya
  • Competition: Qatar QSL
  • Date and kickoff: Saturday 29 August 2026, 16:30
  • Model pick: Over 7.5 corners at n/a, 60% confidence, 10.0 corners projected
  • Al-Shahaniya average: 5.0 corners for, 5.0 against per match
  • Al Sailiya average: 5.0 corners for, 5.0 against per match

Frequently asked questions

What does the model say about corners in Al-Shahaniya vs Al Sailiya?
The corneredge.bet model picks over 7.5 corners at 60% confidence. The predicted total across the match is 10.0 corners.
When is Al-Shahaniya vs Al Sailiya played?
Kickoff is 12:30 ET on Saturday 29 August 2026. That is 17:30 in the United Kingdom and 18:30 in central Europe.
Which team produces more corners, Al-Shahaniya or Al Sailiya?
Across the last 5 matches, Al-Shahaniya produces 5.0 corners per game. Al Sailiya produces 5.0 corners across the last 5 fixtures. For corners conceded, Al-Shahaniya sits at 5.0 per match against 5.0 for Al Sailiya. 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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