Al-Karma vs Naft Maysan: result 1-2 and analysis
Iraqi LeagueRegular Season - 10Kick-off on December 6, 2024 at 11:30 AM (UTC)Al Ramadi Stadium, Ar Ramādī (Ramadi)
Full time
What was the result of Al-Karma vs Naft Maysan?
Naft Maysan won 1-2 on December 6, 2024.
Goalscorers
- 14′Mahmoud KhalilAl-Karma
- 28′Alaa SaadNaft Maysan
- 71′Usman SaleNaft Maysan
What is the recent form of both teams?
Over their last 9 matches in all competitions, Al-Karma have 4 wins, 2 draws and 3 defeats; Naft Maysan have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2024 | Zakho(away) | 0-1 | Iraqi League |
| Nov 25, 2024 | Al Zawra'a(home) | 0-0 | Iraqi League |
| Nov 6, 2024 | Newroz(away) | 3-1 | Iraqi League |
| Nov 1, 2024 | Al-Qasim(home) | 1-0 | Iraqi League |
| Oct 28, 2024 | Naft Al-Janoob(away) | 5-0 | Iraqi League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 30, 2024 | Erbil(home) | 1-1 | Iraqi League |
| Nov 26, 2024 | Al Najaf(away) | 1-4 | Iraqi League |
| Nov 3, 2024 | Al Kahrabaa(away) | 0-1 | Iraqi League |
| Oct 29, 2024 | Karbala(home) | 0-0 | Iraqi League |
| Oct 25, 2024 | Al Karkh(away) | 2-0 | Iraqi League |
How many goals should we expect?
Al-Karma score 1.6 and concede 1.0 goals per match over their last 9; Naft Maysan score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Karma | 1.6 | 1.0 | 3 | 3/9 | 4/9 |
| Naft Maysan | 1.1 | 1.3 | 5 | 7/15 | 6/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
Al-Karma sit 4th in Iraqi League (4 points from 2 matches) and Naft Maysan sit 14th (2 points from 2 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Al-Karma | 2 | 1 | 1 | 0 | 3 | 2 | 4 |
| 14 | Naft Maysan | 2 | 0 | 2 | 0 | 0 | 0 | 2 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy