Al Diwaniya vs Erbil: result 0-0 and analysis
Iraqi LeagueRegular Season - 23Kick-off on March 11, 2021 at 11:00 AM (UTC)Afak Stadium, Afak
Full time
What was the result of Al Diwaniya vs Erbil?
Al Diwaniya and Erbil drew 0-0 on March 11, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Diwaniya have 2 wins, 9 draws and 4 defeats; Erbil have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2021 | Al Karkh(away) | 1-2 | Iraqi League |
| Feb 28, 2021 | Naft Maysan(home) | 1-1 | Iraqi League |
| Feb 23, 2021 | Al Najaf(away) | 0-2 | Iraqi League |
| Feb 13, 2021 | Al Simawa(home) | 1-0 | Iraqi League |
| Feb 9, 2021 | Naft Al-Wasat(home) | 0-0 | Iraqi League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2021 | Al-Qasim(home) | 5-1 | Iraqi League |
| Mar 1, 2021 | Zakho(away) | 1-1 | Iraqi League |
| Feb 24, 2021 | Baghdad(home) | 2-2 | Iraqi League |
| Feb 13, 2021 | Al Zawra'a(away) | 1-2 | Iraqi League |
| Feb 8, 2021 | Alsinaat Al Kahrabaiya(away) | 0-2 | Iraqi League |
What does the head-to-head say?
In the last meeting: 0 Al Diwaniya wins, 0 draws, 1 Erbil win.
| Date | Score | Competition |
|---|---|---|
| Nov 22, 2020 | Erbil 1-0 Al Diwaniya | Iraqi League |
How many goals should we expect?
Al Diwaniya score 0.5 and concede 0.9 goals per match over their last 15; Erbil score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Diwaniya | 0.5 | 0.9 | 7 | 5/15 | 3/15 |
| Erbil | 1.3 | 1.5 | 1 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Erbil | 11 | 5 | 3 | 3 | 14 | 7 | 18 |
A question about Al Diwaniya vs Erbil?
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