Mosul vs Al Zawra'a: result 1-3 and analysis
Iraqi LeagueRegular Season - 6Kick-off on October 31, 2025 at 05:30 PM (UTC)
Full time
What was the result of Mosul vs Al Zawra'a?
Al Zawra'a won 1-3 on October 31, 2025.
Goalscorers
- 22′M. HumaidanAl Zawra'a
- 35′M. HumaidanAl Zawra'a
- 58′H. AbdulkareemAl Zawra'a
- 60′562454Mosul
What is the recent form of both teams?
Over their last 4 matches in all competitions, Mosul have 2 wins, 0 draws and 2 defeats; Al Zawra'a have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2025 | Zakho(away) | 0-1 | Iraqi League |
| Sep 26, 2025 | Al Najaf(home) | 2-1 | Iraqi League |
| Sep 21, 2025 | Baghdad(away) | 3-0 | Iraqi League |
| Sep 15, 2025 | Gharraf(away) | 0-1 | Iraqi League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2025 | Al-Qasim(away) | 2-0 | Iraqi League |
| Oct 22, 2025 | Istiqlol(away) | 1-2 | AFC Champions League Two |
| Oct 5, 2025 | Al Quwa Al Jawiya(home) | 0-2 | Iraqi League |
| Oct 1, 2025 | Al-Nassr(home) | 0-2 | AFC Champions League Two |
| Sep 27, 2025 | Al-Karma(away) | 0-0 | Iraqi League |
How many goals should we expect?
Mosul score 1.3 and concede 0.8 goals per match over their last 4; Al Zawra'a score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mosul | 1.3 | 0.8 | 1 | 1/4 | 2/4 |
| Al Zawra'a | 1.1 | 0.9 | 7 | 6/15 | 5/15 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
Mosul sit 15th in Iraqi League (12 points from 12 matches) and Al Zawra'a sit 4th (21 points from 12 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Al Zawra'a | 12 | 6 | 3 | 3 | 17 | 9 | 21 |
| 15 | Mosul | 12 | 3 | 3 | 6 | 13 | 20 | 12 |
A question about Mosul vs Al Zawra'a?
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