Al Talaba vs Al Karkh: result 1-2 and analysis
Iraqi LeagueRegular Season - 12Kick-off on January 1, 2021 at 05:00 PM (UTC)Al-Shaab Stadium, Baghdād
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What was the result of Al Talaba vs Al Karkh?
Al Karkh won 1-2 on January 1, 2021.
Goalscorers
- 52′Mahmoud KhalilAl Karkh
- 72′Muntadher AbdulameerAl Karkh
- 90′Zolfakar AyedAl Talaba
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Talaba have 5 wins, 7 draws and 3 defeats; Al Karkh have 3, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 28, 2020 | Naft Maysan(away) | 0-0 | Iraqi League |
| Dec 22, 2020 | Al Najaf(home) | 0-2 | Iraqi League |
| Dec 17, 2020 | Al Simawa(away) | 1-1 | Iraqi League |
| Dec 12, 2020 | Naft Al-Wasat(home) | 2-2 | Iraqi League |
| Dec 7, 2020 | Al Diwaniya(away) | 1-1 | Iraqi League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 28, 2020 | Naft(home) | 0-2 | Iraqi League |
| Dec 23, 2020 | Al Shorta(away) | 0-1 | Iraqi League |
| Dec 17, 2020 | Erbil(home) | 2-0 | Iraqi League |
| Dec 12, 2020 | Al Minaa Basra(away) | 2-2 | Iraqi League |
| Dec 8, 2020 | Naft Maysan(away) | 1-2 | Iraqi League |
How many goals should we expect?
Al Talaba score 1.1 and concede 0.9 goals per match over their last 15; Al Karkh score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Talaba | 1.1 | 0.9 | 5 | 8/15 | 5/15 |
| Al Karkh | 0.9 | 1.0 | 3 | 3/10 | 3/10 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Al Talaba sit 15th in Iraqi League (1 points from 2 matches) and Al Karkh sit 20th (0 points from 2 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Al Talaba | 2 | 0 | 1 | 1 | 4 | 5 | 1 |
| 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