Al Karkh vs Al Hudod: result 0-1 and analysis
Iraqi LeagueRegular Season - 33Kick-off on June 27, 2021 at 01:45 PM (UTC)Al Saher Ahmed Radhi Stadium, Baghdād
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What was the result of Al Karkh vs Al Hudod?
Al Hudod won 0-1 on June 27, 2021.
Goalscorers
- 18′Manar TahaAl Hudod (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Karkh have 3 wins, 8 draws and 4 defeats; Al Hudod have 0, 9 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2021 | Al Quwa Al Jawiya(away) | 2-3 | Iraqi League |
| May 17, 2021 | Al Talaba(home) | 2-2 | Iraqi League |
| May 12, 2021 | Naft(away) | 1-1 | Iraqi League |
| May 8, 2021 | Al Shorta(home) | 0-3 | Iraqi League |
| Apr 17, 2021 | Erbil(away) | 1-0 | Iraqi League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2021 | Naft Maysan(home) | 2-2 | Iraqi League |
| May 17, 2021 | Al Najaf(away) | 1-2 | Iraqi League |
| May 11, 2021 | Al Simawa(home) | 0-0 | Iraqi League |
| Apr 28, 2021 | Naft Al-Wasat(away) | 0-0 | Iraqi League |
| Apr 16, 2021 | Al Diwaniya(away) | 1-1 | Iraqi League |
What does the head-to-head say?
Across the last 1 meetings: 0 Al Karkh win(s), 1 draw(s), 0 Al Hudod win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 17, 2021 | Al Hudod 0-0 Al Karkh | Iraqi League |
How many goals should we expect?
Al Karkh score 0.9 and concede 1.1 goals per match over their last 15; Al Hudod score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Karkh | 0.9 | 1.1 | 4 | 8/15 | 6/15 |
| Al Hudod | 0.9 | 1.5 | 2 | 10/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 20 | Al Karkh | 2 | 0 | 0 | 2 | 0 | 3 | 0 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy