Arameiska / Syrianska vs Lidingö: result 1-1 and analysis
Division 2 - Södra SvealandSödra Svealand - 3Kick-off on April 16, 2022 at 12:00 PM (UTC)Brunna IP, Botkyrka
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What was the result of Arameiska / Syrianska vs Lidingö?
Arameiska / Syrianska and Lidingö drew 1-1 on April 16, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arameiska / Syrianska have 5 wins, 1 draws and 9 defeats; Lidingö have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2022 | United Nordic(away) | 0-2 | Division 2 - Södra Svealand |
| Apr 3, 2022 | Sleipner(home) | 1-0 | Division 2 - Södra Svealand |
| Nov 28, 2021 | Karlslund(home) | 2-3 | Division 2 - Södra Svealand |
| Nov 20, 2021 | Tyresö W(away) | 0-1 | Division 2 - Södra Svealand |
| Nov 7, 2021 | Nyköping(away) | 1-7 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2022 | Assyriska FF(home) | 0-1 | Division 2 - Södra Svealand |
| Apr 3, 2022 | Enskede(away) | 1-5 | Division 2 - Södra Svealand |
| Nov 27, 2021 | Sandvikens AIK(home) | 0-2 | Division 2 - Norra Svealand |
| Nov 20, 2021 | Skiljebo(away) | 3-4 | Division 2 - Norra Svealand |
| Nov 7, 2021 | Kungsängen(away) | 1-1 | Division 2 - Norra Svealand |
How many goals should we expect?
Arameiska / Syrianska score 1.5 and concede 2.7 goals per match over their last 15; Lidingö score 1.5 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arameiska / Syrianska | 1.5 | 2.7 | 1 | 12/15 | 12/15 |
| Lidingö | 1.5 | 2.3 | 1 | 11/15 | 10/15 |
Over the last 15 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