Rosengård vs Torns: result 1-2 and analysis
Division 2 - Södra GötalandRegular Season - 26Kick-off on October 15, 2016 at 12:00 PM (UTC)Rosengårds IP (Södra), Malmö
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What was the result of Rosengård vs Torns?
Torns won 1-2 on October 15, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rosengård have 9 wins, 3 draws and 3 defeats; Torns have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2016 | Lund(away) | 1-2 | Division 2 - Södra Götaland |
| Oct 1, 2016 | Kvarnby(home) | 2-1 | Division 2 - Södra Götaland |
| Sep 24, 2016 | Asarum(home) | 2-0 | Division 2 - Södra Götaland |
| Sep 17, 2016 | Berga(away) | 0-0 | Division 2 - Södra Götaland |
| Sep 10, 2016 | Hässleholms IF(away) | 3-1 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2016 | Olympic(home) | 2-1 | Division 2 - Södra Götaland |
| Oct 2, 2016 | IFK Malmö(away) | 3-1 | Division 2 - Södra Götaland |
| Sep 24, 2016 | IFK Hässleholm(away) | 3-1 | Division 2 - Södra Götaland |
| Sep 17, 2016 | Lindsdal(home) | 2-2 | Division 2 - Södra Götaland |
| Sep 10, 2016 | Karlskrona(home) | 2-1 | Division 2 - Södra Götaland |
What does the head-to-head say?
Across the last 1 meetings: 0 Rosengård win(s), 0 draw(s), 1 Torns win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 12, 2016 | Torns 3-1 Rosengård | Division 2 - Södra Götaland |
How many goals should we expect?
Rosengård score 2.4 and concede 0.9 goals per match over their last 15; Torns score 2.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rosengård | 2.4 | 0.9 | 7 | 8/15 | 10/15 |
| Torns | 2.6 | 1.4 | 3 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Torns | 13 | 5 | 0 | 8 | 20 | 33 | 15 |
| 12 | Torns | 18 | 6 | 0 | 12 | 25 | 51 | 18 |
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