Vimmerby vs Torns: result 1-3 and analysis
Division 2 - Södra GötalandRegular Season - 12Kick-off on June 17, 2017 at 01:00 PM (UTC)Skobes Arena, Vimmerby
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What was the result of Vimmerby vs Torns?
Torns won 1-3 on June 17, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vimmerby have 1 win, 6 draws and 8 defeats; Torns have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2017 | Prespa Birlik(away) | 0-4 | Division 2 - Södra Götaland |
| Jun 3, 2017 | Asarum(home) | 2-2 | Division 2 - Södra Götaland |
| May 28, 2017 | Räppe(away) | 0-3 | Division 2 - Södra Götaland |
| May 25, 2017 | Berga(home) | 2-4 | Division 2 - Södra Götaland |
| May 20, 2017 | Kvarnby(away) | 1-1 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 24, 2017 | Prespa Birlik(home) | 1-0 | Division 2 - Södra Götaland |
| May 18, 2017 | Asarum(away) | 0-0 | Division 2 - Södra Götaland |
How many goals should we expect?
Vimmerby score 1.0 and concede 2.4 goals per match over their last 15; Torns score 2.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vimmerby | 1.0 | 2.4 | 1 | 9/15 | 10/15 |
| Torns | 2.2 | 0.9 | 6 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 12 | Torns | 25 | 7 | 0 | 18 | 31 | 71 | 21 |
A question about Vimmerby 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