Naft Maysan vs Al Hudod: result 3-2 and analysis
Iraqi LeagueRegular Season - 13Kick-off on January 7, 2021 at 05:00 PM (UTC)Maysan International Stadium, Al Amarah
Full time
What was the result of Naft Maysan vs Al Hudod?
Naft Maysan won 3-2 on January 7, 2021.
Goalscorers
- 7′Ahmad Abd Al RazaqNaft Maysan
- 31′Mustafa AhmadAl Hudod
- 72′Ahmad Abd Al RazaqNaft Maysan
- 83′Karrar AliNaft Maysan
- 86′Bilal KhudairAl Hudod
What is the recent form of both teams?
Over their last 15 matches in all competitions, Naft Maysan have 4 wins, 6 draws and 5 defeats; Al Hudod have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 1, 2021 | Al Quwa Al Jawiya(away) | 1-3 | Iraqi League |
| Dec 28, 2020 | Al Talaba(home) | 0-0 | Iraqi League |
| Dec 23, 2020 | Naft(away) | 3-2 | Iraqi League |
| Dec 18, 2020 | Al Shorta(home) | 1-1 | Iraqi League |
| Dec 13, 2020 | Erbil(away) | 1-0 | Iraqi League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 1, 2021 | Al Najaf(home) | 2-1 | Iraqi League |
| Dec 27, 2020 | Al Simawa(away) | 0-0 | Iraqi League |
| Dec 22, 2020 | Naft Al-Wasat(home) | 1-2 | Iraqi League |
| Dec 17, 2020 | Al Diwaniya(home) | 1-1 | Iraqi League |
| Dec 13, 2020 | Al-Qasim(away) | 0-2 | Iraqi League |
How many goals should we expect?
Naft Maysan score 0.9 and concede 1.1 goals per match over their last 15; Al Hudod score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naft Maysan | 0.9 | 1.1 | 6 | 6/15 | 5/15 |
| Al Hudod | 0.9 | 0.9 | 6 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 19 | Naft Maysan | 10 | 1 | 5 | 4 | 7 | 14 | 8 |
A question about Naft Maysan vs Al Hudod?
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