Baghdad vs Al Diwaniya: result 1-1 and analysis
Iraqi LeagueRegular Season - 14Kick-off on January 16, 2021 at 11:00 AM (UTC)Bagdad Stadium, Bagdad
Full time
What was the result of Baghdad vs Al Diwaniya?
Baghdad and Al Diwaniya drew 1-1 on January 16, 2021.
Goalscorers
- 8′Falah Abd Al KareemAl Diwaniya
- 71′Jabar KareemBaghdad
What is the recent form of both teams?
Over their last 15 matches in all competitions, Baghdad have 5 wins, 5 draws and 5 defeats; Al Diwaniya have 3, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 7, 2021 | Al-Qasim(away) | 1-3 | Iraqi League |
| Jan 2, 2021 | Zakho(home) | 0-0 | Iraqi League |
| Dec 29, 2020 | Al Minaa Basra(away) | 1-0 | Iraqi League |
| Dec 23, 2020 | Al Zawra'a(home) | 1-1 | Iraqi League |
| Dec 18, 2020 | Alsinaat Al Kahrabaiya(away) | 0-0 | Iraqi League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 6, 2021 | Al Zawra'a(away) | 0-3 | Iraqi League |
| Jan 2, 2021 | Alsinaat Al Kahrabaiya(home) | 2-2 | Iraqi League |
| Dec 28, 2020 | Naft Al-Janoob(away) | 1-0 | Iraqi League |
| Dec 22, 2020 | Al Kahrabaa(home) | 0-0 | Iraqi League |
| Dec 17, 2020 | Al Hudod(away) | 1-1 | Iraqi League |
How many goals should we expect?
Baghdad score 0.6 and concede 0.7 goals per match over their last 15; Al Diwaniya score 0.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baghdad | 0.6 | 0.7 | 9 | 2/15 | 2/15 |
| Al Diwaniya | 0.7 | 0.8 | 6 | 4/13 | 2/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | Baghdad | 38 | 10 | 7 | 21 | 47 | 68 | 37 |
A question about Baghdad vs Al Diwaniya?
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