Lindsdal vs Kvarnby: result 5-1 and analysis
Division 2 - Södra GötalandRegular Season - 6Kick-off on May 13, 2017 at 12:00 PM (UTC)Lindsdals IP, Lindsdal
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What was the result of Lindsdal vs Kvarnby?
Lindsdal won 5-1 on May 13, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lindsdal have 4 wins, 7 draws and 4 defeats; Kvarnby have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | IFK Hässleholm(away) | 2-0 | Division 2 - Södra Götaland |
| Apr 29, 2017 | Lund(home) | 1-3 | Division 2 - Södra Götaland |
| Apr 22, 2017 | IFK Malmö(away) | 2-1 | Division 2 - Södra Götaland |
| Apr 13, 2017 | Nybro(home) | 2-0 | Division 2 - Södra Götaland |
| Apr 8, 2017 | Vimmerby(home) | 1-1 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | Hässleholms IF(home) | 0-1 | Division 2 - Södra Götaland |
| Apr 28, 2017 | Torns(away) | 0-2 | Division 2 - Södra Götaland |
| Apr 22, 2017 | Prespa Birlik(home) | 2-1 | Division 2 - Södra Götaland |
| Apr 15, 2017 | Asarum(away) | 0-0 | Division 2 - Södra Götaland |
| Apr 8, 2017 | Räppe(home) | 1-3 | Division 2 - Södra Götaland |
What does the head-to-head say?
Across the last 2 meetings: 1 Lindsdal win(s), 1 draw(s), 0 Kvarnby win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 8, 2016 | Kvarnby 2-2 Lindsdal | Division 2 - Södra Götaland |
| Jun 18, 2016 | Lindsdal 2-0 Kvarnby | Division 2 - Södra Götaland |
How many goals should we expect?
Lindsdal score 1.4 and concede 1.5 goals per match over their last 15; Kvarnby score 1.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lindsdal | 1.4 | 1.5 | 3 | 10/15 | 8/15 |
| Kvarnby | 1.5 | 2.0 | 3 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
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