Al-Qasim vs Diyala: result 0-1 and analysis
Iraqi LeagueRegular Season - 36Kick-off on June 19, 2025 at 04:00 PM (UTC)Al Kefal Olympic Stadium, Babil
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What was the result of Al-Qasim vs Diyala?
Diyala won 0-1 on June 19, 2025.
Goalscorers
- 76′?Diyala (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Qasim have 5 wins, 5 draws and 5 defeats; Diyala have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2025 | Al Zawra'a(away) | 2-1 | Iraqi League |
| May 20, 2025 | Zakho(home) | 0-2 | Iraqi League |
| May 12, 2025 | Al Kahrabaa(away) | 1-2 | Iraqi League |
| May 7, 2025 | Al-Karma(home) | 1-3 | Iraqi League |
| May 3, 2025 | Naft Maysan(away) | 1-0 | Iraqi League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 14, 2025 | Al Karkh(home) | 2-0 | Iraqi League |
| Jun 1, 2025 | Duhok(home) | 2-1 | Iraqi League |
| May 18, 2025 | Al Shorta(away) | 0-1 | Iraqi League |
| May 12, 2025 | Erbil(home) | 1-0 | Iraqi League |
| May 8, 2025 | Al Zawra'a(away) | 0-1 | Iraqi League |
What does the head-to-head say?
In the last meeting: 1 Al-Qasim win, 0 draws, 0 Diyala wins.
| Date | Score | Competition |
|---|---|---|
| Oct 5, 2024 | Diyala 0-1 Al-Qasim | Iraqi League |
How many goals should we expect?
Al-Qasim score 1.2 and concede 1.3 goals per match over their last 15; Diyala score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Qasim | 1.2 | 1.3 | 4 | 9/15 | 7/15 |
| Diyala | 0.9 | 0.7 | 8 | 4/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Diyala | 10 | 3 | 3 | 4 | 15 | 16 | 12 |
A question about Al-Qasim vs Diyala?
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