Al-Qasim vs Al Karkh: result 0-0 and analysis
Iraqi LeagueRegular Season - 21Kick-off on February 28, 2021 at 11:00 AM (UTC)Al Kefal Olympic Stadium, Babil
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What was the result of Al-Qasim vs Al Karkh?
Al-Qasim and Al Karkh drew 0-0 on February 28, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Qasim have 4 wins, 6 draws and 5 defeats; Al Karkh have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 23, 2021 | Naft Maysan(away) | 1-0 | Iraqi League |
| Feb 13, 2021 | Al Najaf(home) | 1-1 | Iraqi League |
| Feb 9, 2021 | Al Simawa(away) | 1-1 | Iraqi League |
| Feb 5, 2021 | Naft Al-Wasat(away) | 3-2 | Iraqi League |
| Jan 30, 2021 | Al Diwaniya(home) | 0-0 | Iraqi League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 23, 2021 | Zakho(home) | 1-1 | Iraqi League |
| Feb 14, 2021 | Baghdad(away) | 0-1 | Iraqi League |
| Feb 9, 2021 | Al Zawra'a(home) | 1-1 | Iraqi League |
| Feb 4, 2021 | Alsinaat Al Kahrabaiya(home) | 1-0 | Iraqi League |
| Jan 30, 2021 | Naft Al-Janoob(away) | 0-1 | Iraqi League |
What does the head-to-head say?
In the last meeting: 0 Al-Qasim wins, 0 draws, 1 Al Karkh win.
| Date | Score | Competition |
|---|---|---|
| Nov 1, 2020 | Al Karkh 2-1 Al-Qasim | Iraqi League |
How many goals should we expect?
Al-Qasim score 1.1 and concede 1.1 goals per match over their last 15; Al Karkh score 0.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Qasim | 1.1 | 1.1 | 3 | 9/15 | 4/15 |
| Al Karkh | 0.8 | 1.1 | 4 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Al Karkh | 13 | 3 | 3 | 7 | 16 | 21 | 12 |
A question about Al-Qasim vs Al Karkh?
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