Västerås IK vs Syrianska IF: result 2-1 and analysis
Division 2 - Norra SvealandRegular Season - 25Kick-off on October 8, 2016 at 12:00 PM (UTC)Apalby IP, Västerås
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What was the result of Västerås IK vs Syrianska IF?
Västerås IK won 2-1 on October 8, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Västerås IK have 4 wins, 0 draws and 11 defeats; Syrianska IF have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2016 | Gamla Upsala(home) | 1-2 | Division 2 - Norra Svealand |
| Sep 24, 2016 | Skiljebo(away) | 1-0 | Division 2 - Norra Svealand |
| Sep 17, 2016 | Sundbyberg(home) | 3-4 | Division 2 - Norra Svealand |
| Sep 10, 2016 | Värmdö(home) | 3-4 | Division 2 - Norra Svealand |
| Sep 3, 2016 | Håbo(away) | 1-4 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2016 | Kvarnsveden(home) | 1-2 | Division 2 - Norra Svealand |
| Sep 23, 2016 | Sollentuna(home) | 1-4 | Division 2 - Norra Svealand |
| Sep 17, 2016 | Boo(away) | 1-4 | Division 2 - Norra Svealand |
| Sep 10, 2016 | Sundbyberg(away) | 0-2 | Division 2 - Norra Svealand |
| Sep 4, 2016 | Karlberg(home) | 2-6 | 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 Syrianska IF win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 16, 2016 | Syrianska IF 2-0 Västerås IK | Division 2 - Norra Svealand |
Last archived meeting: Syrianska IF vs Västerås IK on Jun 16, 2016
How many goals should we expect?
Västerås IK score 1.3 and concede 3.1 goals per match over their last 15; Syrianska IF score 1.7 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Västerås IK | 1.3 | 3.1 | 3 | 7/15 | 12/15 |
| Syrianska IF | 1.7 | 2.8 | 3 | 8/15 | 10/15 |
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