Qatar QSL

Al Sadd vs Al Ahli Doha 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 Sadd
VS
Al Ahli Doha 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 1.57

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OVER 2.5 goals

49% · odds 1.30

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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 1.81

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Other Qatar QSL fixtures

Thu 14:15

Al-Wakrah vs Qatar
Fri 16:30

Al-Arabi Doha vs Al Shamal SC

The match at a glance

  • Match: Al Sadd vs Al Ahli Doha
  • Competition: Qatar QSL
  • Date and kickoff: Saturday 22 August 2026, 16:30
  • Model pick: Over 7.5 corners at n/a, 60% confidence, 10.0 corners projected
  • Al Sadd average: 5.0 corners for, 5.0 against per match
  • Al Ahli Doha average: 5.0 corners for, 5.0 against per match

Frequently asked questions

How many corners does the model expect in Al Sadd vs Al Ahli Doha?
The corneredge.bet model picks over 7.5 corners at 60% confidence. The predicted total across the match is 10.0 corners.
What is the kickoff time for Al Sadd vs Al Ahli Doha?
Kickoff is 12:30 ET on Saturday 22 August 2026. That is 17:30 in the United Kingdom and 18:30 in central Europe.
How do Al Sadd and Al Ahli Doha compare on corners?
Across the last 5 matches, Al Sadd produces 5.0 corners per game. Al Ahli Doha produces 5.0 corners across the last 5 fixtures. For corners conceded, Al Sadd sits at 5.0 per match against 5.0 for Al Ahli Doha. 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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