Torns vs Lund: result 1-0 and analysis
Division 2 - Södra GötalandRegular Season - 14Kick-off on June 27, 2017 at 05:00 PM (UTC)Tornvallen, Lund
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What was the result of Torns vs Lund?
Torns won 1-0 on June 27, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Torns have 11 wins, 3 draws and 1 defeats; Lund have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 21, 2017 | Nybro(home) | 3-0 | Division 2 - Södra Götaland |
| Jun 17, 2017 | Vimmerby(away) | 3-1 | Division 2 - Södra Götaland |
| Jun 10, 2017 | Lindsdal(home) | 2-0 | Division 2 - Södra Götaland |
| Jun 2, 2017 | Hässleholms IF(away) | 5-1 | Division 2 - Södra Götaland |
| May 28, 2017 | Österlen(home) | 4-1 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 21, 2017 | Asarum(away) | 1-3 | Division 2 - Södra Götaland |
| Jun 17, 2017 | Räppe(home) | 4-3 | Division 2 - Södra Götaland |
| Jun 10, 2017 | Berga(away) | 3-2 | Division 2 - Södra Götaland |
| Jun 3, 2017 | Kvarnby(home) | 2-0 | Division 2 - Södra Götaland |
| May 28, 2017 | IFK Hässleholm(away) | 3-2 | Division 2 - Södra Götaland |
What does the head-to-head say?
Across the last 3 meetings: 0 Torns win(s), 3 draw(s), 0 Lund win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 13, 2017 | Lund 0-0 Torns | Division 2 - Södra Götaland |
| Aug 28, 2016 | Torns 2-2 Lund | Division 2 - Södra Götaland |
| May 9, 2016 | Lund 2-2 Torns | Division 2 - Södra Götaland |
How many goals should we expect?
Torns score 2.2 and concede 0.8 goals per match over their last 15; Lund score 2.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torns | 2.2 | 0.8 | 7 | 8/15 | 9/15 |
| Lund | 2.1 | 1.6 | 3 | 11/15 | 11/15 |
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