Alamal Atbara vs Sävedalen: result 4-2 and analysis
Division 2 - Norra GötalandRegular Season - 26Kick-off on October 13, 2019 at 12:00 PM (UTC)Örnäsvallens IP, Åmål
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What was the result of Alamal Atbara vs Sävedalen?
Alamal Atbara won 4-2 on October 13, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Alamal Atbara have 4 wins, 4 draws and 7 defeats; Sävedalen have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Al Hilal Omdurman(home) | 1-0 | Sudani Premier League |
| Oct 3, 2019 | Vänersborgs FK(away) | 1-3 | Division 2 - Norra Götaland |
| Sep 30, 2019 | Hilal Obayed(away) | 1-1 | Sudani Premier League |
| Sep 28, 2019 | Uddevalla(away) | 2-0 | Division 2 - Norra Götaland |
| Sep 25, 2019 | Al Shorta(home) | 2-1 | Sudani Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Nordvärmland(home) | 1-6 | Division 2 - Norra Götaland |
| Sep 29, 2019 | Lidköping(away) | 2-2 | Division 2 - Norra Götaland |
| Sep 21, 2019 | Uddevalla(away) | 5-1 | Division 2 - Norra Götaland |
| Sep 14, 2019 | Vänersborgs FK(home) | 2-1 | Division 2 - Norra Götaland |
| Sep 7, 2019 | IFK Tidaholm(away) | 4-0 | Division 2 - Norra Götaland |
What does the head-to-head say?
Across the last 1 meetings: 0 Alamal Atbara win(s), 0 draw(s), 1 Sävedalen win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 8, 2019 | Sävedalen 1-0 Alamal Atbara | Division 2 - Norra Götaland |
Last archived meeting: Sävedalen vs Alamal Atbara on Jun 8, 2019
How many goals should we expect?
Alamal Atbara score 1.1 and concede 1.8 goals per match over their last 15; Sävedalen score 2.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Alamal Atbara | 1.1 | 1.8 | 2 | 10/15 | 8/15 |
| Sävedalen | 2.3 | 1.5 | 4 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
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