Sundbyberg vs Syrianska IF: result 1-3 and analysis
Division 2 - Norra SvealandRegular Season - 9Kick-off on May 29, 2017 at 05:30 PM (UTC)
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What was the result of Sundbyberg vs Syrianska IF?
Syrianska IF won 1-3 on May 29, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sundbyberg have 4 wins, 2 draws and 9 defeats; Syrianska IF have 1, 0 and 14.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2017 | Håbo(away) | 1-2 | Division 2 - Norra Svealand |
| May 20, 2017 | Gamla Upsala(home) | 2-2 | Division 2 - Norra Svealand |
| May 13, 2017 | Karlberg(away) | 0-1 | Division 2 - Norra Svealand |
| May 6, 2017 | Skiljebo(home) | 0-2 | Division 2 - Norra Svealand |
| Apr 29, 2017 | Lidingö(away) | 1-3 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2017 | Forward(home) | 0-3 | Division 2 - Norra Svealand |
| May 19, 2017 | Aspudden-Tellus(away) | 2-3 | Division 2 - Norra Svealand |
| May 14, 2017 | Gute(away) | 2-5 | Division 2 - Norra Svealand |
| May 8, 2017 | Håbo(home) | 5-1 | Division 2 - Norra Svealand |
| Apr 29, 2017 | Gamla Upsala(away) | 0-4 | Division 2 - Norra Svealand |
What does the head-to-head say?
Across the last 2 meetings: 1 Sundbyberg win(s), 0 draw(s), 1 Syrianska IF win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2016 | Sundbyberg 2-0 Syrianska IF | Division 2 - Norra Svealand |
| May 23, 2016 | Syrianska IF 2-0 Sundbyberg | Division 2 - Norra Svealand |
Last archived meeting: Sundbyberg vs Syrianska IF on Sep 10, 2016
How many goals should we expect?
Sundbyberg score 1.2 and concede 2.0 goals per match over their last 15; Syrianska IF score 1.1 and concede 3.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sundbyberg | 1.2 | 2.0 | 2 | 9/15 | 10/15 |
| Syrianska IF | 1.1 | 3.4 | 0 | 10/15 | 14/15 |
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