Syrianska IF vs Karlberg: result 2-6 and analysis
Division 2 - Norra SvealandRegular Season - 20Kick-off on September 4, 2016 at 04:00 PM (UTC)Solid Park Arena, Västerås
Full time
What was the result of Syrianska IF vs Karlberg?
Karlberg won 2-6 on September 4, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Syrianska IF have 8 wins, 3 draws and 4 defeats; Karlberg have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 7, 2016 | Norrtälje(home) | 7-3 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2016 | Franke(away) | 3-2 | Division 2 - Norra Svealand |
| Aug 20, 2016 | Norrtälje(home) | 3-2 | Division 2 - Norra Svealand |
| Aug 13, 2016 | Gamla Upsala(away) | 2-3 | Division 2 - Norra Svealand |
| Aug 6, 2016 | Västerås IK(home) | 6-1 | Division 2 - Norra Svealand |
| Jul 30, 2016 | Sundbyberg(home) | 0-0 | 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 Karlberg win(s).
| Date | Score | Competition |
|---|---|---|
| May 14, 2016 | Karlberg 1-3 Syrianska IF | Division 2 - Norra Svealand |
Last archived meeting: Karlberg vs Syrianska IF on May 14, 2016
How many goals should we expect?
Syrianska IF score 2.0 and concede 1.8 goals per match over their last 15; Karlberg score 2.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Syrianska IF | 2.0 | 1.8 | 5 | 7/15 | 8/15 |
| Karlberg | 2.5 | 1.2 | 6 | 9/15 | 11/15 |
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