Al Nahdha vs Damac: result 2-2 and analysis
Division 1Regular Season - 1Kick-off on September 13, 2017 at 03:30 PM (UTC)Prince Fahad bin Salman Stadium (Al Nahda), Dammam
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What was the result of Al Nahdha vs Damac?
Al Nahdha and Damac drew 2-2 on September 13, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Nahdha have 4 wins, 7 draws and 4 defeats; Damac have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2017 | Al-Adalah(home) | 1-1 | Division 1 |
| Apr 28, 2017 | Najran(home) | 0-1 | Division 1 |
| Apr 20, 2017 | Hajer(away) | 2-1 | Division 1 |
| Apr 14, 2017 | Al-Wajj(home) | 3-1 | Division 1 |
| Apr 7, 2017 | Al Orubah(home) | 0-0 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2017 | Al-Hazm(away) | 1-2 | Division 1 |
| Apr 28, 2017 | Al Qaisoma(home) | 3-0 | Division 1 |
| Apr 22, 2017 | Al-Adalah(away) | 1-1 | Division 1 |
| Apr 14, 2017 | Najran(home) | 1-1 | Division 1 |
| Apr 7, 2017 | Hajer(away) | 1-2 | Division 1 |
What does the head-to-head say?
Across the last 2 meetings: 1 Al Nahdha win, 0 draws, 1 Damac win.
| Date | Score | Competition |
|---|---|---|
| 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 1.1 goals per match over their last 15; Damac score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Nahdha | 0.9 | 1.1 | 4 | 7/15 | 6/15 |
| Damac | 1.1 | 1.2 | 3 | 10/15 | 7/15 |
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 Nahdha 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