Syrianska IF vs Sollentuna: result 1-4 and analysis
Division 2 - Norra SvealandRegular Season - 23Kick-off on September 23, 2016 at 05:00 PM (UTC)Solid Park Arena, Västerås
Full time
What was the result of Syrianska IF vs Sollentuna?
Sollentuna won 1-4 on September 23, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Syrianska IF have 6 wins, 2 draws and 7 defeats; Sollentuna have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 27, 2016 | Skiljebo(away) | 0-2 | Division 2 - Norra Svealand |
| Aug 22, 2016 | Franke(home) | 0-2 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Gute(home) | 4-1 | Division 2 - Norra Svealand |
| Sep 10, 2016 | Karlberg(away) | 1-1 | Division 2 - Norra Svealand |
| Sep 3, 2016 | Franke(home) | 2-2 | Division 2 - Norra Svealand |
| Aug 29, 2016 | Norrtälje(away) | 1-1 | Division 2 - Norra Svealand |
| Aug 20, 2016 | Gamla Upsala(home) | 5-1 | Division 2 - Norra Svealand |
What does the head-to-head say?
Across the last 1 meetings: 1 Syrianska IF win(s), 0 draw(s), 0 Sollentuna win(s).
| Date | Score | Competition |
|---|---|---|
| May 29, 2016 | Sollentuna 0-1 Syrianska IF | Division 2 - Norra Svealand |
Last archived meeting: Sollentuna vs Syrianska IF on May 29, 2016
How many goals should we expect?
Syrianska IF score 1.8 and concede 2.4 goals per match over their last 15; Sollentuna score 2.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Syrianska IF | 1.8 | 2.4 | 5 | 6/15 | 8/15 |
| Sollentuna | 2.3 | 0.9 | 4 | 10/15 | 9/15 |
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