Vårgårda vs Vänersborgs IF: result 4-0 and analysis
Division 2 - Norra GötalandRegular Season - 10Kick-off on June 4, 2017 at 02:00 PM (UTC)Tånga Hed, Vårgårda
Full time
What was the result of Vårgårda vs Vänersborgs IF?
Vårgårda won 4-0 on June 4, 2017.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Vårgårda have 4 wins, 1 draws and 4 defeats; Vänersborgs IF have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2017 | Karlstad(away) | 0-4 | Division 2 - Norra Götaland |
| May 25, 2017 | FBK Karlstad(home) | 3-1 | Division 2 - Norra Götaland |
| May 20, 2017 | Gauthiod(away) | 0-3 | Division 2 - Norra Götaland |
| May 13, 2017 | Grebbestad(home) | 1-3 | Division 2 - Norra Götaland |
| May 6, 2017 | Stenungsund(away) | 1-0 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2017 | FBK Karlstad(home) | 0-3 | Division 2 - Norra Götaland |
| May 24, 2017 | Grebbestad(away) | 1-3 | Division 2 - Norra Götaland |
| May 19, 2017 | Uddevalla(home) | 2-2 | Division 2 - Norra Götaland |
| May 12, 2017 | Trollhättan(away) | 1-1 | Division 2 - Norra Götaland |
| May 6, 2017 | Nordvärmland(home) | 1-2 | Division 2 - Norra Götaland |
How many goals should we expect?
Vårgårda score 0.9 and concede 1.4 goals per match over their last 9; Vänersborgs IF score 1.5 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vårgårda | 0.9 | 1.4 | 3 | 3/9 | 4/9 |
| Vänersborgs IF | 1.5 | 2.7 | 1 | 9/15 | 12/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Vänersborgs IF | 13 | 1 | 2 | 10 | 15 | 40 | 5 |
| 14 | Vänersborgs IF | 18 | 2 | 3 | 13 | 20 | 50 | 9 |
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