Damac vs Al-Kawkab: result 1-0 and analysis
Division 1Regular Season - 24Kick-off on March 7, 2018 at 01:05 PM (UTC)Dhamak Club Stadium, Khamis Mushait
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What was the result of Damac vs Al-Kawkab?
Damac won 1-0 on March 7, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Damac have 6 wins, 3 draws and 6 defeats; Al-Kawkab have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 28, 2018 | Al Taee(away) | 2-3 | Division 1 |
| Feb 20, 2018 | Jeddah Club(home) | 4-0 | Division 1 |
| Feb 13, 2018 | Al Khaleej Saihat(away) | 0-3 | Division 1 |
| Feb 6, 2018 | Al Wehda Club(home) | 0-2 | Division 1 |
| Feb 3, 2018 | Hajer(home) | 2-1 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 28, 2018 | Al Najoom(home) | 2-0 | Division 1 |
| Feb 20, 2018 | Al Mojzel(home) | 4-1 | Division 1 |
| Feb 14, 2018 | Al Taee(away) | 1-0 | Division 1 |
| Feb 7, 2018 | Jeddah Club(home) | 1-1 | Division 1 |
| Jan 31, 2018 | Al Khaleej Saihat(away) | 2-0 | Division 1 |
What does the head-to-head say?
In the last meeting: 0 Damac wins, 0 draws, 1 Al-Kawkab win.
| Date | Score | Competition |
|---|---|---|
| Nov 8, 2017 | Al-Kawkab 3-0 Damac | Division 1 |
How many goals should we expect?
Damac score 1.7 and concede 1.5 goals per match over their last 15; Al-Kawkab score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Damac | 1.7 | 1.5 | 3 | 9/15 | 10/15 |
| Al-Kawkab | 1.7 | 1.1 | 6 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Damac | 7 | 2 | 3 | 2 | 7 | 9 | 9 |
A question about Damac vs Al-Kawkab?
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy