Sävedalen vs Alamal Atbara: result 1-0 and analysis
Division 2 - Norra GötalandRegular Season - 11Kick-off on June 8, 2019 at 11:30 AM (UTC)Vallhamra IP, Sävedalen
Full time
What was the result of Sävedalen vs Alamal Atbara?
Sävedalen won 1-0 on June 8, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sävedalen have 7 wins, 3 draws and 5 defeats; Alamal Atbara have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2019 | Vänersborgs FK(away) | 1-3 | Division 2 - Norra Götaland |
| May 29, 2019 | Uddevalla(home) | 6-0 | Division 2 - Norra Götaland |
| May 25, 2019 | IFK Tidaholm(home) | 0-1 | Division 2 - Norra Götaland |
| May 17, 2019 | Torslanda(away) | 4-1 | Division 2 - Norra Götaland |
| May 11, 2019 | Grebbestad(home) | 2-3 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2019 | IFK Tidaholm(home) | 0-0 | Division 2 - Norra Götaland |
| May 30, 2019 | Torslanda(away) | 0-0 | Division 2 - Norra Götaland |
| May 25, 2019 | Grebbestad(home) | 1-0 | Division 2 - Norra Götaland |
| May 18, 2019 | Örebro Syrianska(away) | 0-6 | Division 2 - Norra Götaland |
| May 11, 2019 | Gauthiod(home) | 2-2 | Division 2 - Norra Götaland |
How many goals should we expect?
Sävedalen score 2.4 and concede 1.6 goals per match over their last 15; Alamal Atbara score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sävedalen | 2.4 | 1.6 | 2 | 12/15 | 10/15 |
| Alamal Atbara | 1.0 | 1.7 | 6 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Sävedalen vs Alamal Atbara?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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