Västerås IK vs Sundbyberg: result 3-4 and analysis
Division 2 - Norra SvealandRegular Season - 22Kick-off on September 17, 2016 at 12:00 PM (UTC)Apalby IP, Västerås
Full time
What was the result of Västerås IK vs Sundbyberg?
Sundbyberg won 3-4 on September 17, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Västerås IK have 3 wins, 0 draws and 12 defeats; Sundbyberg have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Värmdö(home) | 3-4 | Division 2 - Norra Svealand |
| Sep 3, 2016 | Håbo(away) | 1-4 | Division 2 - Norra Svealand |
| Aug 27, 2016 | Kvarnsveden(home) | 3-0 | Division 2 - Norra Svealand |
| Aug 21, 2016 | Gute(away) | 0-6 | Division 2 - Norra Svealand |
| Aug 13, 2016 | Sollentuna(home) | 0-3 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Syrianska IF(home) | 2-0 | Division 2 - Norra Svealand |
| Sep 3, 2016 | Skiljebo(away) | 1-2 | Division 2 - Norra Svealand |
| Aug 27, 2016 | Värmdö(home) | 1-0 | Division 2 - Norra Svealand |
| Aug 20, 2016 | Håbo(away) | 1-0 | Division 2 - Norra Svealand |
| Aug 13, 2016 | Kvarnsveden(home) | 1-4 | Division 2 - Norra Svealand |
What does the head-to-head say?
Across the last 1 meetings: 0 Västerås IK win(s), 0 draw(s), 1 Sundbyberg win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 4, 2016 | Sundbyberg 6-2 Västerås IK | Division 2 - Norra Svealand |
Last archived meeting: Sundbyberg vs Västerås IK on Jun 4, 2016
How many goals should we expect?
Västerås IK score 1.1 and concede 3.3 goals per match over their last 15; Sundbyberg score 1.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Västerås IK | 1.1 | 3.3 | 2 | 6/15 | 13/15 |
| Sundbyberg | 1.3 | 1.8 | 4 | 8/15 | 8/15 |
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