Al Qaisoma vs Damac: result 4-3 and analysis
Division 1Regular Season - 14Kick-off on December 13, 2017 at 12:05 PM (UTC)Al-Batin FC Stadium, Hafar Al-Batin
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What was the result of Al Qaisoma vs Damac?
Al Qaisoma won 4-3 on December 13, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Qaisoma have 4 wins, 4 draws and 7 defeats; Damac have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 5, 2017 | Al Najoom(away) | 0-0 | Division 1 |
| Nov 29, 2017 | Al-Kawkab(home) | 4-6 | Division 1 |
| Nov 22, 2017 | Al Taee(away) | 2-3 | Division 1 |
| Nov 15, 2017 | Jeddah Club(home) | 2-2 | Division 1 |
| Nov 7, 2017 | Al Khaleej Saihat(away) | 1-2 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 6, 2017 | Al-Hazm(home) | 2-0 | Division 1 |
| Nov 29, 2017 | Al-Watani(away) | 2-2 | Division 1 |
| Nov 22, 2017 | Al Mojzel(away) | 3-1 | Division 1 |
| Nov 15, 2017 | Al Najoom(home) | 3-0 | Division 1 |
| Nov 8, 2017 | Al-Kawkab(away) | 0-3 | Division 1 |
What does the head-to-head say?
Across the last 2 meetings: 1 Al Qaisoma win, 0 draws, 1 Damac win.
| Date | Score | Competition |
|---|---|---|
| Apr 28, 2017 | Damac 3-0 Al Qaisoma | Division 1 |
| Dec 16, 2016 | Al Qaisoma 2-1 Damac | Division 1 |
How many goals should we expect?
Al Qaisoma score 1.7 and concede 1.9 goals per match over their last 15; Damac score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Qaisoma | 1.7 | 1.9 | 2 | 12/15 | 12/15 |
| Damac | 1.5 | 1.5 | 3 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Damac | 8 | 3 | 3 | 2 | 11 | 10 | 12 |
A question about Al Qaisoma vs Damac?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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