Diyala vs Zakho: result 1-4 and analysis
Iraqi LeagueRegular Season - 13Kick-off on January 9, 2025 at 04:30 PM (UTC)Al-Shaab Stadium, Baghdād
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What was the result of Diyala vs Zakho?
Zakho won 1-4 on January 9, 2025.
Goalscorers
- 38′Mohammad AbboudZakho
- 48′Nasser Al GahwashiZakho
- 59′Gustavo Henrique RodriguesZakho
- 90′Gustavo Henrique RodriguesZakho
- 90′Anas MalekDiyala
What is the recent form of both teams?
Over their last 12 matches in all competitions, Diyala have 0 wins, 4 draws and 8 defeats; Zakho have 6, 7 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 3, 2025 | Newroz(away) | 1-2 | Iraqi League |
| Dec 12, 2024 | Al Talaba(home) | 0-1 | Iraqi League |
| Dec 8, 2024 | Duhok(away) | 1-3 | Iraqi League |
| Dec 1, 2024 | Naft(home) | 0-0 | Iraqi League |
| Nov 27, 2024 | Karbala(away) | 2-2 | Iraqi League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 3, 2025 | Al Karkh(home) | 2-0 | Iraqi League |
| Dec 12, 2024 | Naft(away) | 0-2 | Iraqi League |
| Dec 7, 2024 | Al Shorta(away) | 1-0 | Iraqi League |
| Dec 1, 2024 | Al-Karma(home) | 1-0 | Iraqi League |
| Nov 27, 2024 | Al Minaa Basra(away) | 0-0 | Iraqi League |
How many goals should we expect?
Diyala score 0.7 and concede 1.9 goals per match over their last 12; Zakho score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diyala | 0.7 | 1.9 | 1 | 7/12 | 6/12 |
| Zakho | 1.3 | 0.7 | 7 | 6/15 | 4/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
Diyala sit 11th in Iraqi League (9 points from 9 matches) and Zakho sit 12th (9 points from 9 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Diyala | 9 | 2 | 3 | 4 | 13 | 16 | 9 |
| 12 | Zakho | 9 | 2 | 3 | 4 | 7 | 12 | 9 |
A question about Diyala vs Zakho?
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