Naft Al-Wasat vs Naft Maysan: result 0-1 and analysis
Iraqi LeagueMatchday 3Kick-off on November 6, 2020 at 02:30 PM (UTC)Al Najaf Stadium, Najaf
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What was the result of Naft Al-Wasat vs Naft Maysan?
Naft Maysan won 0-1 on November 6, 2020.
Goalscorers
- 44′Naser HamoodaNaft Maysan (pen.)
What is the recent form of both teams?
Over their last 7 matches in all competitions, Naft Al-Wasat have 5 wins, 0 draws and 2 defeats; Naft Maysan have 0, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2020 | Al Najaf(away) | 3-0 | Iraqi League |
| Oct 25, 2020 | Al Simawa(home) | 5-1 | Iraqi League |
| Mar 10, 2020 | Erbil(home) | 1-0 | Iraqi League |
| Mar 5, 2020 | Naft Al-Janoob(home) | 1-0 | Iraqi League |
| Feb 27, 2020 | Al Hudod(away) | 0-1 | Iraqi League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2020 | Al Diwaniya(home) | 0-0 | Iraqi League |
| Oct 27, 2020 | Al-Qasim(away) | 3-3 | Iraqi League |
| Mar 5, 2020 | Al Talaba(away) | 1-2 | Iraqi League |
| Feb 28, 2020 | Alsinaat Al Kahrabaiya(away) | 0-2 | Iraqi League |
| Feb 23, 2020 | Erbil(home) | 0-1 | Iraqi League |
How many goals should we expect?
Naft Al-Wasat score 1.6 and concede 0.4 goals per match over their last 7; Naft Maysan score 0.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naft Al-Wasat | 1.6 | 0.4 | 4 | 1/7 | 2/7 |
| Naft Maysan | 0.8 | 1.7 | 1 | 3/6 | 3/6 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 19 | Naft Maysan | 13 | 1 | 6 | 6 | 8 | 19 | 9 |
A question about Naft Al-Wasat vs Naft Maysan?
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