Smedby vs Arameiska / Syrianska: result 1-3 and analysis
Division 2 - Södra SvealandRegular Season - 11Kick-off on June 11, 2016 at 02:00 PM (UTC)PreZero Arena, Norrköping
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What was the result of Smedby vs Arameiska / Syrianska?
Arameiska / Syrianska won 1-3 on June 11, 2016.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Smedby have 3 wins, 3 draws and 4 defeats; Arameiska / Syrianska have 8, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2016 | Sylvia(away) | 4-2 | Division 2 - Södra Svealand |
| May 28, 2016 | Vimmerby(home) | 1-1 | Division 2 - Södra Svealand |
| May 21, 2016 | Södertälje(home) | 4-2 | Division 2 - Södra Svealand |
| May 15, 2016 | Konyaspor(away) | 2-2 | Division 2 - Södra Svealand |
| May 8, 2016 | Karlslund(home) | 7-2 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2016 | Södertälje(home) | 4-1 | Division 2 - Södra Svealand |
| May 29, 2016 | Konyaspor(away) | 4-1 | Division 2 - Södra Svealand |
| May 22, 2016 | Karlslund(home) | 0-1 | Division 2 - Södra Svealand |
| May 14, 2016 | Linköping City(away) | 2-1 | Division 2 - Södra Svealand |
| May 8, 2016 | Huddinge(home) | 1-0 | Division 2 - Södra Svealand |
How many goals should we expect?
Smedby score 2.2 and concede 1.8 goals per match over their last 10; Arameiska / Syrianska score 2.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smedby | 2.2 | 1.8 | 0 | 9/10 | 7/10 |
| Arameiska / Syrianska | 2.5 | 1.1 | 1 | 8/10 | 8/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Smedby | 12 | 7 | 2 | 3 | 28 | 15 | 23 |
| 6 | Smedby | 18 | 9 | 4 | 5 | 35 | 24 | 31 |
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