Arameiska / Syrianska vs Rågsved: result 3-2 and analysis
Division 2 - Södra SvealandSödra Svealand - 3Kick-off on April 15, 2023 at 01:00 PM (UTC)Brunna IP, Botkyrka
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What was the result of Arameiska / Syrianska vs Rågsved?
Arameiska / Syrianska won 3-2 on April 15, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arameiska / Syrianska have 4 wins, 3 draws and 8 defeats; Rågsved have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2023 | Farsta(away) | 0-0 | Division 2 - Södra Svealand |
| Apr 2, 2023 | Sleipner(home) | 0-1 | Division 2 - Södra Svealand |
| Oct 16, 2022 | Assyriska FF(away) | 0-2 | Division 2 - Södra Svealand |
| Oct 8, 2022 | Värmbols(home) | 3-0 | Division 2 - Södra Svealand |
| Oct 2, 2022 | Karlberg(home) | 1-3 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2023 | Nyköping(home) | 1-1 | Division 2 - Södra Svealand |
| Apr 1, 2023 | Syrianska FC(away) | 0-2 | Division 2 - Södra Svealand |
| Oct 15, 2022 | Järfälla(away) | 4-1 | Division 2 - Norra Svealand |
| Oct 9, 2022 | Skiljebo(home) | 3-2 | Division 2 - Norra Svealand |
| Oct 2, 2022 | Sandvikens AIK(away) | 1-2 | Division 2 - Norra Svealand |
How many goals should we expect?
Arameiska / Syrianska score 1.1 and concede 1.8 goals per match over their last 15; Rågsved score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arameiska / Syrianska | 1.1 | 1.8 | 3 | 7/15 | 8/15 |
| Rågsved | 1.7 | 1.1 | 4 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Rågsved | 12 | 6 | 3 | 3 | 27 | 19 | 21 |
| 8 | Rågsved | 18 | 7 | 5 | 6 | 33 | 30 | 26 |
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