Diyala vs Al Najaf: result 0-0 and analysis
Iraqi LeagueRegular Season - 31Kick-off on May 2, 2025 at 02:30 PM (UTC)Al-Madina International Stadium, Baghdad
Full time
What was the result of Diyala vs Al Najaf?
Diyala and Al Najaf drew 0-0 on May 2, 2025.
Goalscorers
- 51′?Al Najaf
What is the recent form of both teams?
Over their last 15 matches in all competitions, Diyala have 6 wins, 5 draws and 4 defeats; Al Najaf have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2025 | Zakho(away) | 1-0 | Iraqi League |
| Apr 21, 2025 | Naft Maysan(away) | 1-0 | Iraqi League |
| Apr 16, 2025 | Al Quwa Al Jawiya(home) | 2-1 | Iraqi League |
| Apr 10, 2025 | Naft(away) | 0-2 | Iraqi League |
| Apr 2, 2025 | Karbala(home) | 1-0 | Iraqi League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2025 | Al-Karma(home) | 0-3 | Iraqi League |
| Apr 21, 2025 | Al Quwa Al Jawiya(away) | 0-3 | Iraqi League |
| Apr 17, 2025 | Karbala(home) | 3-2 | Iraqi League |
| Apr 12, 2025 | Al Shorta(away) | 0-1 | Iraqi League |
| Apr 4, 2025 | Al Karkh(away) | 0-1 | Iraqi League |
What does the head-to-head say?
In the last meeting: 0 Diyala wins, 0 draws, 1 Al Najaf win.
| Date | Score | Competition |
|---|---|---|
| Nov 3, 2024 | Al Najaf 2-0 Diyala | Iraqi League |
How many goals should we expect?
Diyala score 0.9 and concede 0.9 goals per match over their last 15; Al Najaf score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diyala | 0.9 | 0.9 | 7 | 6/15 | 4/15 |
| Al Najaf | 1.0 | 1.3 | 3 | 6/15 | 8/15 |
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 Al Najaf?
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