Al-Kawkab vs Damac: result 2-2 and analysis
Division 1Regular Season - 16Kick-off on December 11, 2018 at 12:05 PM (UTC)Al-Shoalah Club Stadium, Al Kharj
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What was the result of Al-Kawkab vs Damac?
Al-Kawkab and Damac drew 2-2 on December 11, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Kawkab have 4 wins, 4 draws and 7 defeats; Damac have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 4, 2018 | Al Khaleej Saihat(away) | 0-0 | Division 1 |
| Nov 27, 2018 | Al Qaisoma(home) | 2-1 | Division 1 |
| Nov 21, 2018 | Najran(away) | 1-1 | Division 1 |
| Nov 13, 2018 | Al Najoom(home) | 1-1 | Division 1 |
| Nov 7, 2018 | Al Nahdha(away) | 1-0 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 4, 2018 | Hajer(home) | 2-1 | Division 1 |
| Nov 28, 2018 | Al-Ansar(away) | 0-1 | Division 1 |
| Nov 20, 2018 | Al Khaleej Saihat(away) | 1-1 | Division 1 |
| Nov 13, 2018 | Al Qaisoma(home) | 1-0 | Division 1 |
| Nov 6, 2018 | Najran(home) | 1-1 | Division 1 |
What does the head-to-head say?
Across the last 2 meetings: 1 Al-Kawkab win, 0 draws, 1 Damac win.
| Date | Score | Competition |
|---|---|---|
| Mar 7, 2018 | Damac 1-0 Al-Kawkab | Division 1 |
| Nov 8, 2017 | Al-Kawkab 3-0 Damac | Division 1 |
How many goals should we expect?
Al-Kawkab score 0.9 and concede 1.3 goals per match over their last 15; Damac score 1.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Kawkab | 0.9 | 1.3 | 2 | 8/15 | 6/15 |
| Damac | 1.3 | 0.8 | 4 | 9/15 | 4/15 |
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 Al-Kawkab vs Damac?
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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