Gamla Upsala vs Västerås IK: result 3-0 and analysis
Division 2 - Norra SvealandRegular Season - 13Kick-off on June 21, 2016 at 05:00 PM (UTC)Gamlis IP, Uppsala
Full time
What was the result of Gamla Upsala vs Västerås IK?
Gamla Upsala won 3-0 on June 21, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Gamla Upsala have 4 wins, 3 draws and 5 defeats; Västerås IK have 1, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2016 | Boo(away) | 0-0 | Division 2 - Norra Svealand |
| Jun 11, 2016 | Sundbyberg(home) | 2-1 | Division 2 - Norra Svealand |
| Jun 4, 2016 | Skiljebo(away) | 2-3 | Division 2 - Norra Svealand |
| May 28, 2016 | Värmdö(home) | 0-2 | Division 2 - Norra Svealand |
| May 21, 2016 | Håbo(away) | 0-0 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2016 | Syrianska IF(away) | 0-2 | Division 2 - Norra Svealand |
| Jun 11, 2016 | Boo(home) | 1-0 | Division 2 - Norra Svealand |
| Jun 4, 2016 | Sundbyberg(away) | 2-6 | Division 2 - Norra Svealand |
| May 28, 2016 | Skiljebo(home) | 0-3 | Division 2 - Norra Svealand |
| May 21, 2016 | Värmdö(away) | 0-3 | Division 2 - Norra Svealand |
How many goals should we expect?
Gamla Upsala score 0.8 and concede 1.4 goals per match over their last 12; Västerås IK score 0.7 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gamla Upsala | 0.8 | 1.4 | 5 | 3/12 | 5/12 |
| Västerås IK | 0.7 | 2.9 | 1 | 4/12 | 9/12 |
Over the last 12 matches in all competitions.
A question about Gamla Upsala 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