Lindsdal vs Lund: result 1-3 and analysis
Division 2 - Södra GötalandRegular Season - 4Kick-off on April 29, 2017 at 01:00 PM (UTC)Lindsdals IP, Lindsdal
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What was the result of Lindsdal vs Lund?
Lund won 1-3 on April 29, 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; Lund have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 15, 2016 | Lund(home) | 1-2 | Division 2 - Södra Götaland |
| Oct 8, 2016 | Kvarnby(away) | 2-2 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2017 | Hässleholms IF(home) | 5-1 | Division 2 - Södra Götaland |
| Apr 13, 2017 | Torns(home) | 0-0 | Division 2 - Södra Götaland |
| Apr 8, 2017 | Prespa Birlik(home) | 1-0 | Division 2 - Södra Götaland |
| Oct 15, 2016 | Lindsdal(away) | 2-1 | Division 2 - Södra Götaland |
| Oct 8, 2016 | Rosengård(home) | 2-1 | Division 2 - Södra Götaland |
What does the head-to-head say?
Across the last 2 meetings: 0 Lindsdal wins, 0 draws, 2 Lund wins.
| Date | Score | Competition |
|---|---|---|
| Oct 15, 2016 | Lindsdal 1-2 Lund | Division 2 - Södra Götaland |
| Jun 11, 2016 | Lund 1-0 Lindsdal | Division 2 - Södra Götaland |
How many goals should we expect?
Lindsdal score 1.3 and concede 1.7 goals per match over their last 15; Lund score 2.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lindsdal | 1.3 | 1.7 | 3 | 9/15 | 8/15 |
| Lund | 2.3 | 1.5 | 4 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Lindsdal vs Lund?
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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