Diyala vs Baghdad: result 1-4 and analysis
Iraqi LeagueRegular Season - 36Kick-off on May 19, 2026 at 02:30 PM (UTC)Al Ba'quba Stadium, Ba'quba
Full time
What was the result of Diyala vs Baghdad?
Baghdad won 1-4 on May 19, 2026.
Goalscorers
- 7′651746Baghdad
- 37′630009Baghdad
- 53′655151Baghdad
- 68′662487Diyala (o.g.)
- 72′532624Baghdad
What is the recent form of both teams?
Over their last 15 matches in all competitions, Diyala have 5 wins, 3 draws and 7 defeats; Baghdad have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2026 | Al Shorta(home) | 0-2 | Iraqi League |
| May 11, 2026 | Zakho(away) | 2-1 | Iraqi League |
| May 6, 2026 | Gharraf(away) | 0-0 | Iraqi League |
| May 1, 2026 | Al Talaba(home) | 0-1 | Iraqi League |
| Apr 26, 2026 | Mosul(home) | 1-4 | Iraqi League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2026 | Al Kahrabaa(home) | 0-1 | Iraqi League |
| May 11, 2026 | Al Karkh(away) | 1-2 | Iraqi League |
| May 7, 2026 | Al Najaf(away) | 1-1 | Iraqi League |
| May 2, 2026 | Al-Qasim(home) | 2-2 | Iraqi League |
| Apr 26, 2026 | Al Zawra'a(home) | 2-2 | Iraqi League |
What does the head-to-head say?
In the last meeting: 1 Diyala win, 0 draws, 0 Baghdad wins.
| Date | Score | Competition |
|---|---|---|
| Sep 13, 2025 | Baghdad 1-2 Diyala | Iraqi League |
How many goals should we expect?
Diyala score 0.9 and concede 1.1 goals per match over their last 15; Baghdad score 1.1 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diyala | 0.9 | 1.1 | 5 | 5/15 | 4/15 |
| Baghdad | 1.1 | 2.1 | 0 | 12/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Diyala | 9 | 2 | 3 | 4 | 13 | 16 | 9 |
A question about Diyala vs Baghdad?
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