Sundbyberg vs Syrianska IF: result 2-0 and analysis
Division 2 - Norra SvealandRegular Season - 21Kick-off on September 10, 2016 at 12:00 PM (UTC)
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What was the result of Sundbyberg vs Syrianska IF?
Sundbyberg won 2-0 on September 10, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sundbyberg have 5 wins, 2 draws and 8 defeats; Syrianska IF have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 7, 2016 | Gute(away) | 0-3 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2016 | Karlberg(home) | 2-6 | Division 2 - Norra Svealand |
| Aug 27, 2016 | Skiljebo(away) | 0-2 | Division 2 - Norra Svealand |
| Aug 22, 2016 | Franke(home) | 0-2 | Division 2 - Norra Svealand |
| Aug 15, 2016 | Gute(away) | 3-2 | Division 2 - Norra Svealand |
| Aug 12, 2016 | Värmdö(away) | 0-0 | Division 2 - Norra Svealand |
What does the head-to-head say?
Across the last 1 meetings: 0 Sundbyberg win(s), 0 draw(s), 1 Syrianska IF win(s).
| Date | Score | Competition |
|---|---|---|
| May 23, 2016 | Syrianska IF 2-0 Sundbyberg | Division 2 - Norra Svealand |
Last archived meeting: Syrianska IF vs Sundbyberg on May 23, 2016
How many goals should we expect?
Sundbyberg score 1.3 and concede 1.8 goals per match over their last 15; Syrianska IF score 2.0 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sundbyberg | 1.3 | 1.8 | 4 | 8/15 | 8/15 |
| Syrianska IF | 2.0 | 2.1 | 5 | 7/15 | 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