Vänersborgs IF vs Sävedalen: result 0-1 and analysis
Division 2 - Norra GötalandRegular Season - 3Kick-off on April 19, 2019 at 12:00 PM (UTC)Vänersvallen Nord, Vänersborg
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What was the result of Vänersborgs IF vs Sävedalen?
Sävedalen won 0-1 on April 19, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vänersborgs IF have 4 wins, 5 draws and 6 defeats; Sävedalen have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2019 | IFK Tidaholm(away) | 1-1 | Division 2 - Norra Götaland |
| Apr 6, 2019 | Torslanda(home) | 1-1 | Division 2 - Norra Götaland |
| Oct 20, 2018 | Nordvärmland(home) | 0-1 | Division 2 - Norra Götaland |
| Oct 13, 2018 | Torslanda(away) | 2-1 | Division 2 - Norra Götaland |
| Oct 5, 2018 | Uddevalla(away) | 1-1 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Vårgårda(home) | 3-1 | Division 2 - Norra Götaland |
| Apr 6, 2019 | Stenungsund(away) | 2-4 | Division 2 - Norra Götaland |
| Oct 21, 2018 | Ullared(away) | 2-4 | Division 2 - Västra Götaland |
| Oct 13, 2018 | Rosengård(home) | 1-1 | Division 2 - Västra Götaland |
| Oct 6, 2018 | Högaborg(away) | 3-2 | Division 2 - Västra Götaland |
How many goals should we expect?
Vänersborgs IF score 1.3 and concede 1.8 goals per match over their last 15; Sävedalen score 3.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vänersborgs IF | 1.3 | 1.8 | 1 | 10/15 | 8/15 |
| Sävedalen | 3.1 | 1.5 | 3 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Vänersborgs IF | 25 | 2 | 3 | 20 | 24 | 73 | 9 |
A question about Vänersborgs IF vs Sävedalen?
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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