Al Hudod vs Naft Al-Wasat: result 1-2 and analysis
Iraqi LeagueMatchday 9Kick-off on December 22, 2020 at 11:00 AM (UTC)Al-Shaab Stadium, Baghdād
Full time
What was the result of Al Hudod vs Naft Al-Wasat?
Naft Al-Wasat won 1-2 on December 22, 2020.
Goalscorers
- 15′A. KoffiAl Hudod
- 37′O. MansouriNaft Al-Wasat
- 90′Zayed TahseenNaft Al-Wasat
What is the recent form of both teams?
Over their last 13 matches in all competitions, Al Hudod have 3 wins, 5 draws and 5 defeats; Naft Al-Wasat have 8, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 17, 2020 | Al Diwaniya(home) | 1-1 | Iraqi League |
| Dec 13, 2020 | Al-Qasim(away) | 0-2 | Iraqi League |
| Dec 8, 2020 | Zakho(home) | 1-2 | Iraqi League |
| Dec 2, 2020 | Baghdad(away) | 1-0 | Iraqi League |
| Nov 28, 2020 | Al Zawra'a(home) | 1-2 | Iraqi League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 17, 2020 | Al Quwa Al Jawiya(home) | 0-1 | Iraqi League |
| Dec 12, 2020 | Al Talaba(away) | 2-2 | Iraqi League |
| Dec 7, 2020 | Naft(home) | 1-0 | Iraqi League |
| Dec 3, 2020 | Al Shorta(away) | 1-1 | Iraqi League |
| Nov 28, 2020 | Erbil(home) | 1-0 | Iraqi League |
What does the head-to-head say?
In the last meeting: 1 Al Hudod win, 0 draws, 0 Naft Al-Wasat wins.
| Date | Score | Competition |
|---|---|---|
| Feb 27, 2020 | Al Hudod 1-0 Naft Al-Wasat | Iraqi League |
Last archived meeting: Al Hudod vs Naft Al-Wasat on Feb 27, 2020
How many goals should we expect?
Al Hudod score 0.8 and concede 1.0 goals per match over their last 13; Naft Al-Wasat score 1.2 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Hudod | 0.8 | 1.0 | 5 | 6/13 | 4/13 |
| Naft Al-Wasat | 1.2 | 0.6 | 7 | 3/14 | 3/14 |
Over the last 13 matches in all competitions.
A question about Al Hudod vs Naft Al-Wasat?
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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