Al Nahdha vs Damac: result 0-2 and analysis
Division 1Regular Season - 9Kick-off on October 23, 2018 at 02:45 PM (UTC)Prince Fahad bin Salman Stadium (Al Nahda), Dammam
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What was the result of Al Nahdha vs Damac?
Damac won 0-2 on October 23, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Nahdha have 5 wins, 3 draws and 7 defeats; Damac have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2018 | Al Khaleej Saihat(away) | 0-0 | Division 1 |
| Oct 9, 2018 | Al Qaisoma(home) | 2-3 | Division 1 |
| Oct 3, 2018 | Najran(away) | 1-3 | Division 1 |
| Sep 25, 2018 | Al Najoom(home) | 1-0 | Division 1 |
| Sep 19, 2018 | Al-Ansar(away) | 1-2 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 25, 2018 | Al Orubah(away) | 2-0 | Division 1 |
| Sep 18, 2018 | Al-Washm(home) | 1-1 | Division 1 |
What does the head-to-head say?
Across the last 4 meetings: 1 Al Nahdha win(s), 2 draw(s), 1 Damac win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 11, 2018 | Damac 0-0 Al Nahdha | Division 1 |
| Sep 13, 2017 | Al Nahdha 2-2 Damac | Division 1 |
| Mar 31, 2017 | Damac 1-0 Al Nahdha | Division 1 |
| Nov 18, 2016 | Al Nahdha 3-0 Damac | Division 1 |
How many goals should we expect?
Al Nahdha score 0.9 and concede 1.3 goals per match over their last 15; Damac score 1.6 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Nahdha | 0.9 | 1.3 | 5 | 7/15 | 8/15 |
| Damac | 1.6 | 0.8 | 5 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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