Diyala vs Al-Karma: result 0-0 and analysis
Iraqi LeagueRegular Season - 15Kick-off on January 19, 2025 at 11:30 AM (UTC)Al Ba'quba Stadium, Ba'quba
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What was the result of Diyala vs Al-Karma?
Diyala and Al-Karma drew 0-0 on January 19, 2025.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Diyala have 0 wins, 4 draws and 10 defeats; Al-Karma have 5, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 13, 2025 | Al Hudod(away) | 0-1 | Iraqi League |
| Jan 9, 2025 | Zakho(home) | 1-4 | Iraqi League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 15, 2025 | Al Najaf(home) | 1-0 | Iraqi League |
| Jan 10, 2025 | Erbil(away) | 1-1 | Iraqi League |
| Jan 2, 2025 | Karbala(home) | 0-0 | Iraqi League |
| Dec 12, 2024 | Al Quwa Al Jawiya(away) | 0-1 | Iraqi League |
| Dec 6, 2024 | Naft Maysan(home) | 1-2 | Iraqi League |
How many goals should we expect?
Diyala score 0.6 and concede 2.0 goals per match over their last 14; Al-Karma score 1.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diyala | 0.6 | 2.0 | 1 | 8/14 | 7/14 |
| Al-Karma | 1.2 | 0.9 | 5 | 5/14 | 5/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
Diyala sit 11th in Iraqi League (9 points from 9 matches) and Al-Karma sit 1st (20 points from 8 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Al-Karma | 8 | 6 | 2 | 0 | 14 | 5 | 20 |
| 11 | Diyala | 9 | 2 | 3 | 4 | 13 | 16 | 9 |
A question about Diyala vs Al-Karma?
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