Damac vs Najran: result 1-1 and analysis
Division 1Regular Season - 11Kick-off on November 6, 2018 at 12:30 PM (UTC)Dhamak Club Stadium, Khamis Mushait
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What was the result of Damac vs Najran?
Damac and Najran drew 1-1 on November 6, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Damac have 8 wins, 4 draws and 3 defeats; Najran have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2018 | Al Najoom(home) | 1-1 | Division 1 |
| Oct 23, 2018 | Al Nahdha(away) | 2-0 | Division 1 |
| Oct 16, 2018 | Jeddah Club(home) | 1-1 | Division 1 |
| Oct 9, 2018 | Al Jabalain(away) | 1-2 | Division 1 |
| Oct 2, 2018 | Al Shoalah(home) | 2-1 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2018 | Al Khaleej Saihat(away) | 0-1 | Division 1 |
| Oct 23, 2018 | Al Qaisoma(home) | 2-0 | Division 1 |
| Oct 17, 2018 | Al-Ansar(away) | 2-0 | Division 1 |
| Oct 9, 2018 | Al Najoom(away) | 2-2 | Division 1 |
| Oct 3, 2018 | Al Nahdha(home) | 3-1 | Division 1 |
What does the head-to-head say?
Across the last 4 meetings: 2 Damac win(s), 1 draw(s), 1 Najran win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 31, 2018 | Najran 1-4 Damac | Division 1 |
| Oct 4, 2017 | Damac 0-1 Najran | Division 1 |
| Apr 14, 2017 | Damac 1-1 Najran | Division 1 |
| Dec 2, 2016 | Najran 1-2 Damac | Division 1 |
How many goals should we expect?
Damac score 1.7 and concede 0.8 goals per match over their last 15; Najran score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Damac | 1.7 | 0.8 | 5 | 9/15 | 5/15 |
| Najran | 1.5 | 1.1 | 3 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Damac | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy