Lund vs Torns: result 2-2 and analysis
Division 2 - Södra GötalandRegular Season - 6Kick-off on May 9, 2016 at 05:00 PM (UTC)Klostergårdens IP, Lund
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What was the result of Lund vs Torns?
Lund and Torns drew 2-2 on May 9, 2016.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Lund have 1 win, 2 draws and 2 defeats; Torns have 0, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2016 | Berga(away) | 0-2 | Division 2 - Södra Götaland |
| Apr 29, 2016 | Asarum(home) | 0-0 | Division 2 - Södra Götaland |
| Apr 23, 2016 | Hässleholms IF(away) | 0-2 | Division 2 - Södra Götaland |
| Apr 16, 2016 | Nybro(home) | 1-1 | Division 2 - Södra Götaland |
| Apr 10, 2016 | IFK Malmö(away) | 2-1 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2016 | BW 90(home) | 0-3 | Division 2 - Södra Götaland |
| Apr 30, 2016 | Berga(home) | 1-2 | Division 2 - Södra Götaland |
| Apr 23, 2016 | Asarum(away) | 0-1 | Division 2 - Södra Götaland |
| Apr 16, 2016 | Hässleholms IF(home) | 1-1 | Division 2 - Södra Götaland |
| Apr 10, 2016 | Nybro(away) | 1-1 | Division 2 - Södra Götaland |
How many goals should we expect?
Lund score 0.6 and concede 1.2 goals per match over their last 5; Torns score 0.6 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lund | 0.6 | 1.2 | 1 | 2/5 | 1/5 |
| Torns | 0.6 | 1.6 | 0 | 3/5 | 2/5 |
Over the last 5 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 Lund vs Torns?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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