Al Simawa vs Erbil: result 0-1 and analysis
Iraqi LeagueRegular Season - 25Kick-off on March 21, 2021 at 11:00 AM (UTC)Al Samawah Stadium, Al Samawah
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What was the result of Al Simawa vs Erbil?
Erbil won 0-1 on March 21, 2021.
Goalscorers
- 89′Hardi TahirErbil
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Simawa have 2 wins, 5 draws and 8 defeats; Erbil have 2, 7 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 14, 2021 | Al Karkh(away) | 0-0 | Iraqi League |
| Mar 9, 2021 | Naft Maysan(home) | 1-2 | Iraqi League |
| Mar 5, 2021 | Al Najaf(away) | 0-1 | Iraqi League |
| Mar 1, 2021 | Al Minaa Basra(away) | 1-3 | Iraqi League |
| Feb 23, 2021 | Naft Al-Wasat(home) | 0-0 | Iraqi League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 16, 2021 | Naft Al-Wasat(home) | 0-1 | Iraqi League |
| Mar 11, 2021 | Al Diwaniya(away) | 0-0 | Iraqi League |
| Mar 5, 2021 | Al-Qasim(home) | 5-1 | Iraqi League |
| Mar 1, 2021 | Zakho(away) | 1-1 | Iraqi League |
| Feb 24, 2021 | Baghdad(home) | 2-2 | Iraqi League |
What does the head-to-head say?
In the last meeting: 0 Al Simawa wins, 0 draws, 1 Erbil win.
| Date | Score | Competition |
|---|---|---|
| Dec 3, 2020 | Erbil 2-0 Al Simawa | Iraqi League |
How many goals should we expect?
Al Simawa score 0.5 and concede 1.2 goals per match over their last 15; Erbil score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Simawa | 0.5 | 1.2 | 6 | 5/15 | 4/15 |
| Erbil | 1.3 | 1.3 | 2 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | Erbil | 9 | 5 | 3 | 1 | 13 | 4 | 18 |
A question about Al Simawa vs Erbil?
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