Linköping City vs Arameiska / Syrianska: result 1-2 and analysis
Division 2 - Södra SvealandRegular Season - 7Kick-off on May 14, 2016 at 01:00 PM (UTC)Arena Linköping, Linköping
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What was the result of Linköping City vs Arameiska / Syrianska?
Arameiska / Syrianska won 1-2 on May 14, 2016.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Linköping City have 3 wins, 1 draws and 1 defeats; Arameiska / Syrianska have 5, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2016 | Sylvia(away) | 1-0 | Division 2 - Södra Svealand |
| May 5, 2016 | Smedby(home) | 2-1 | Division 2 - Södra Svealand |
| Apr 30, 2016 | Södertälje(away) | 3-3 | Division 2 - Södra Svealand |
| Apr 23, 2016 | Konyaspor(home) | 2-1 | Division 2 - Södra Svealand |
| Apr 16, 2016 | Karlslund(away) | 1-2 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2016 | Huddinge(home) | 1-0 | Division 2 - Södra Svealand |
| May 5, 2016 | Assyriska IF(away) | 3-1 | Division 2 - Södra Svealand |
| Apr 30, 2016 | Motala(home) | 2-2 | Division 2 - Södra Svealand |
| Apr 23, 2016 | Värmbols(away) | 2-1 | Division 2 - Södra Svealand |
| Apr 17, 2016 | Aspudden-Tellus(home) | 5-2 | Division 2 - Södra Svealand |
How many goals should we expect?
Linköping City score 1.8 and concede 1.4 goals per match over their last 5; Arameiska / Syrianska score 2.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Linköping City | 1.8 | 1.4 | 1 | 4/5 | 4/5 |
| Arameiska / Syrianska | 2.5 | 1.2 | 1 | 5/6 | 5/6 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Arameiska / Syrianska | 26 | 6 | 5 | 15 | 32 | 63 | 23 |
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