Baghdad vs Erbil: result 0-2 and analysis
Iraqi LeagueRegular Season - 1Kick-off on October 26, 2020 at 01:00 PM (UTC)Bagdad Stadium, Bagdad
Full time
What was the result of Baghdad vs Erbil?
Erbil won 0-2 on October 26, 2020.
Goalscorers
- 71′Sherko KareemErbil
- 78′Barzan SherzadErbil
What is the recent form of both teams?
Over their last 5 matches in all competitions, Baghdad have 0 wins, 3 draws and 2 defeats; Erbil have 2, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 8, 2020 | Al Najaf(away) | 0-0 | Iraqi League |
| Mar 3, 2020 | Al Zawra'a(home) | 0-0 | Iraqi League |
| Feb 26, 2020 | Al Shorta(away) | 1-3 | Iraqi League |
| Feb 21, 2020 | Naft(away) | 1-1 | Iraqi League |
| Feb 16, 2020 | Naft Al-Wasat(home) | 0-1 | Iraqi League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2020 | Naft Al-Wasat(away) | 0-1 | Iraqi League |
| Mar 4, 2020 | Alsinaat Al Kahrabaiya(home) | 2-3 | Iraqi League |
| Feb 27, 2020 | Naft Al-Janoob(away) | 0-1 | Iraqi League |
| Feb 23, 2020 | Naft Maysan(away) | 1-0 | Iraqi League |
| Feb 18, 2020 | Al Hudod(home) | 2-1 | Iraqi League |
How many goals should we expect?
Baghdad score 0.4 and concede 1.0 goals per match over their last 5; Erbil score 1.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baghdad | 0.4 | 1.0 | 2 | 2/5 | 1/5 |
| Erbil | 1.0 | 1.2 | 1 | 2/5 | 2/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Erbil | 9 | 5 | 3 | 1 | 13 | 4 | 18 |
A question about Baghdad 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