Torns vs Olympic: result 2-1 and analysis
Division 2 - Södra GötalandRegular Season - 25Kick-off on October 8, 2016 at 12:00 PM (UTC)Tornvallen, Lund
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What was the result of Torns vs Olympic?
Torns won 2-1 on October 8, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Torns have 9 wins, 4 draws and 2 defeats; Olympic have 0, 5 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 3, 2016 | Kvarnby(away) | 3-5 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2016 | Lund(home) | 2-2 | Division 2 - Södra Götaland |
| Sep 24, 2016 | Hässleholms IF(home) | 0-1 | Division 2 - Södra Götaland |
| Sep 17, 2016 | Asarum(away) | 1-2 | Division 2 - Södra Götaland |
| Sep 10, 2016 | Nybro(away) | 1-3 | Division 2 - Södra Götaland |
| Sep 3, 2016 | IFK Malmö(home) | 2-2 | Division 2 - Södra Götaland |
What does the head-to-head say?
Across the last 1 meetings: 1 Torns win(s), 0 draw(s), 0 Olympic win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 18, 2016 | Olympic 0-1 Torns | Division 2 - Södra Götaland |
How many goals should we expect?
Torns score 2.5 and concede 1.3 goals per match over their last 15; Olympic score 1.0 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torns | 2.5 | 1.3 | 4 | 10/15 | 11/15 |
| Olympic | 1.0 | 2.0 | 0 | 11/15 | 9/15 |
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