Landvetter IS vs Assyriska BK: result 2-0 and analysis
Division 2 - Västra GötalandVästra Götaland - 6Kick-off on May 6, 2022 at 05:00 PM (UTC)Landvetter IP, Landvetter
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What was the result of Landvetter IS vs Assyriska BK?
Landvetter IS won 2-0 on May 6, 2022.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Landvetter IS have 2 wins, 0 draws and 3 defeats; Assyriska BK have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2022 | Onsala(away) | 0-3 | Division 2 - Västra Götaland |
| Apr 22, 2022 | Torslanda(home) | 2-1 | Division 2 - Västra Götaland |
| Apr 15, 2022 | Husqvarna(away) | 0-6 | Division 2 - Västra Götaland |
| Apr 9, 2022 | Sävedalen(away) | 5-4 | Division 2 - Västra Götaland |
| Apr 1, 2022 | Tölö(home) | 2-3 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2022 | Tölö(home) | 4-0 | Division 2 - Västra Götaland |
| Apr 22, 2022 | Västra Frölunda(away) | 0-3 | Division 2 - Västra Götaland |
| Apr 15, 2022 | Astrio(home) | 1-3 | Division 2 - Västra Götaland |
| Apr 10, 2022 | Eskilsminne(away) | 0-1 | Division 2 - Västra Götaland |
| Apr 1, 2022 | Varbergs GIF(home) | 0-2 | Division 2 - Västra Götaland |
How many goals should we expect?
Landvetter IS score 1.8 and concede 3.4 goals per match over their last 5; Assyriska BK score 1.0 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Landvetter IS | 1.8 | 3.4 | 0 | 3/5 | 5/5 |
| Assyriska BK | 1.0 | 2.1 | 2 | 6/15 | 8/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Landvetter IS | 13 | 10 | 1 | 2 | 21 | 6 | 31 |
| 1 | Landvetter IS | 18 | 13 | 2 | 3 | 30 | 11 | 41 |
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