IFK Malmö vs Torns: result 4-3 and analysis
Division 2 - Södra GötalandRegular Season - 1Kick-off on April 8, 2017 at 12:00 PM (UTC)Malmö Stadion, Malmö
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What was the result of IFK Malmö vs Torns?
IFK Malmö won 4-3 on April 8, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, IFK Malmö have 5 wins, 5 draws and 5 defeats; Torns have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Asarum(home) | 2-2 | Division 2 - Södra Götaland |
| Oct 8, 2016 | Berga(away) | 3-0 | Division 2 - Södra Götaland |
| Oct 2, 2016 | Torns(home) | 1-3 | Division 2 - Södra Götaland |
| Sep 24, 2016 | Nybro(home) | 3-1 | Division 2 - Södra Götaland |
| Sep 16, 2016 | Hässleholms IF(away) | 2-2 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Rosengård(away) | 2-1 | Division 2 - Södra Götaland |
| Oct 8, 2016 | Olympic(home) | 2-1 | Division 2 - Södra Götaland |
| 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 |
What does the head-to-head say?
Across the last 2 meetings: 0 IFK Malmö wins, 0 draws, 2 Torns wins.
| Date | Score | Competition |
|---|---|---|
| Oct 2, 2016 | IFK Malmö 1-3 Torns | Division 2 - Södra Götaland |
| Jun 22, 2016 | Torns 3-0 IFK Malmö | Division 2 - Södra Götaland |
How many goals should we expect?
IFK Malmö score 1.8 and concede 1.7 goals per match over their last 15; Torns score 2.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| IFK Malmö | 1.8 | 1.7 | 3 | 9/15 | 12/15 |
| Torns | 2.5 | 1.4 | 3 | 11/15 | 12/15 |
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 |
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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