Sundbyberg vs Västerås IK: result 6-2 and analysis
Division 2 - Norra SvealandRegular Season - 10Kick-off on June 4, 2016 at 12:00 PM (UTC)
Full time
What was the result of Sundbyberg vs Västerås IK?
Sundbyberg won 6-2 on June 4, 2016.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Sundbyberg have 3 wins, 2 draws and 4 defeats; Västerås IK have 0, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2016 | Boo(away) | 3-2 | Division 2 - Norra Svealand |
| May 23, 2016 | Syrianska IF(away) | 0-2 | Division 2 - Norra Svealand |
| May 14, 2016 | Skiljebo(home) | 0-2 | Division 2 - Norra Svealand |
| May 8, 2016 | Värmdö(away) | 1-0 | Division 2 - Norra Svealand |
| May 5, 2016 | Håbo(home) | 0-0 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2016 | Skiljebo(home) | 0-3 | Division 2 - Norra Svealand |
| May 21, 2016 | Värmdö(away) | 0-3 | Division 2 - Norra Svealand |
| May 14, 2016 | Håbo(home) | 1-3 | Division 2 - Norra Svealand |
| May 8, 2016 | Kvarnsveden(away) | 1-2 | Division 2 - Norra Svealand |
| May 5, 2016 | Gute(home) | 0-3 | Division 2 - Norra Svealand |
How many goals should we expect?
Sundbyberg score 0.9 and concede 1.6 goals per match over their last 9; Västerås IK score 0.6 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sundbyberg | 0.9 | 1.6 | 3 | 3/9 | 4/9 |
| Västerås IK | 0.6 | 3.0 | 0 | 3/9 | 8/9 |
Over the last 9 matches in all competitions.
A question about Sundbyberg vs Västerås IK?
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