Diyala vs Naft Maysan: result 3-1 and analysis
Iraqi LeagueRegular Season - 18Kick-off on February 3, 2025 at 11:00 AM (UTC)Al Ba'quba Stadium, Ba'quba
Full time
What was the result of Diyala vs Naft Maysan?
Diyala won 3-1 on February 3, 2025.
Goalscorers
- 11′Usman SaleNaft Maysan
- 16′A. IkefeDiyala
- 29′C. OpareDiyala
- 32′Mustafa MahmoudDiyala
What is the recent form of both teams?
Over their last 15 matches in all competitions, Diyala have 0 wins, 6 draws and 9 defeats; Naft Maysan have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 29, 2025 | Naft Al-Janoob(away) | 0-1 | Iraqi League |
| Jan 23, 2025 | Al Zawra'a(home) | 1-1 | Iraqi League |
| Jan 19, 2025 | Al-Karma(home) | 0-0 | Iraqi League |
| Jan 13, 2025 | Al Hudod(away) | 0-1 | Iraqi League |
| Jan 9, 2025 | Zakho(home) | 1-4 | Iraqi League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 28, 2025 | Al Zawra'a(away) | 0-1 | Iraqi League |
| Jan 24, 2025 | Zakho(home) | 1-1 | Iraqi League |
| Jan 20, 2025 | Duhok(home) | 0-2 | Iraqi League |
| Jan 14, 2025 | Al Shorta(away) | 3-3 | Iraqi League |
| Jan 9, 2025 | Al Hudod(home) | 3-1 | Iraqi League |
How many goals should we expect?
Diyala score 0.6 and concede 1.5 goals per match over their last 15; Naft Maysan score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diyala | 0.6 | 1.5 | 2 | 8/15 | 5/15 |
| Naft Maysan | 0.9 | 1.1 | 4 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Diyala sit 11th in Iraqi League (9 points from 9 matches) and Naft Maysan sit 17th (8 points from 9 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Diyala | 9 | 2 | 3 | 4 | 13 | 16 | 9 |
| 17 | Naft Maysan | 9 | 1 | 5 | 3 | 7 | 12 | 8 |
A question about Diyala vs Naft Maysan?
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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