Al Talaba vs Naft Maysan: result 2-1 and analysis
Iraqi League2020 - 3Kick-off on March 5, 2020 at 02:15 PM (UTC)Al-Madina International Stadium, Baghdad
Full time
What was the result of Al Talaba vs Naft Maysan?
Al Talaba won 2-1 on March 5, 2020.
Goalscorers
- 30′Wissam SaedonNaft Maysan
- 50′Mohammed Al JumailiAl Talaba
- 66′Haidar AbdulameerAl Talaba
What is the recent form of both teams?
Over their last 3 matches in all competitions, Al Talaba have 0 wins, 1 draw and 2 defeats; Naft Maysan have 0, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 28, 2020 | Al Quwa Al Jawiya(away) | 1-2 | Iraqi League |
| Feb 21, 2020 | Al Najaf(home) | 1-1 | Iraqi League |
| Feb 16, 2020 | Al Zawra'a(away) | 0-1 | Iraqi League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 28, 2020 | Alsinaat Al Kahrabaiya(away) | 0-2 | Iraqi League |
| Feb 23, 2020 | Erbil(home) | 0-1 | Iraqi League |
| Feb 17, 2020 | Al Quwa Al Jawiya(away) | 1-2 | Iraqi League |
How many goals should we expect?
Al Talaba score 0.7 and concede 1.3 goals per match over their last 3; Naft Maysan score 0.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Talaba | 0.7 | 1.3 | 0 | 2/3 | 1/3 |
| Naft Maysan | 0.3 | 1.7 | 0 | 1/3 | 1/3 |
Over the last 3 matches in all competitions.
Where do both teams sit in the table?
Al Talaba sit 13th in Iraqi League (11 points from 10 matches) and Naft Maysan sit 18th (8 points from 10 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Al Talaba | 10 | 2 | 5 | 3 | 10 | 14 | 11 |
| 18 | Naft Maysan | 10 | 1 | 5 | 4 | 7 | 14 | 8 |
A question about Al Talaba vs Naft Maysan?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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