Lindsdal vs Torns: result 0-1 and analysis
Division 2 - Södra GötalandRegular Season - 10Kick-off on June 2, 2016 at 05:30 PM (UTC)Lindsdals IP, Lindsdal
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What was the result of Lindsdal vs Torns?
Torns won 0-1 on June 2, 2016.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Lindsdal have 5 wins, 0 draws and 4 defeats; Torns have 1, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2016 | Berga(away) | 1-2 | Division 2 - Södra Götaland |
| May 21, 2016 | Asarum(home) | 4-0 | Division 2 - Södra Götaland |
| May 13, 2016 | Hässleholms IF(away) | 1-8 | Division 2 - Södra Götaland |
| May 9, 2016 | Nybro(home) | 7-2 | Division 2 - Södra Götaland |
| May 4, 2016 | IFK Malmö(away) | 1-2 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2016 | IFK Hässleholm(home) | 4-4 | Division 2 - Södra Götaland |
| May 22, 2016 | Karlskrona(away) | 1-3 | Division 2 - Södra Götaland |
| May 13, 2016 | Kvarnby(home) | 3-0 | Division 2 - Södra Götaland |
| May 9, 2016 | Lund(away) | 2-2 | Division 2 - Södra Götaland |
| May 4, 2016 | BW 90(home) | 0-3 | Division 2 - Södra Götaland |
How many goals should we expect?
Lindsdal score 2.4 and concede 2.0 goals per match over their last 9; Torns score 1.4 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lindsdal | 2.4 | 2.0 | 2 | 7/9 | 8/9 |
| Torns | 1.4 | 1.9 | 1 | 6/9 | 6/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Torns | 25 | 7 | 0 | 18 | 31 | 71 | 21 |
A question about Lindsdal vs Torns?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy