IFK Hässleholm vs Lund: result 6-1 and analysis
Division 2 - Södra GötalandRegular Season - 10Kick-off on July 27, 2016 at 05:00 PM (UTC)Österås IP, Hässleholm
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What was the result of IFK Hässleholm vs Lund?
IFK Hässleholm won 6-1 on July 27, 2016.
What is the recent form of both teams?
Over their last 13 matches in all competitions, IFK Hässleholm have 6 wins, 4 draws and 3 defeats; Lund have 4, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 30, 2016 | Rosengård(away) | 2-2 | Division 2 - Södra Götaland |
| Jun 23, 2016 | BW 90(home) | 5-0 | Division 2 - Södra Götaland |
| Jun 18, 2016 | Karlskrona(home) | 1-0 | Division 2 - Södra Götaland |
| Jun 11, 2016 | Kvarnby(away) | 3-1 | Division 2 - Södra Götaland |
| May 28, 2016 | Torns(away) | 4-4 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 24, 2016 | Nybro(away) | 1-1 | Division 2 - Södra Götaland |
| Jun 23, 2016 | Olympic(home) | 1-1 | Division 2 - Södra Götaland |
| Jun 18, 2016 | Rosengård(away) | 0-1 | Division 2 - Södra Götaland |
| Jun 11, 2016 | Lindsdal(home) | 1-0 | Division 2 - Södra Götaland |
| May 28, 2016 | Karlskrona(home) | 1-2 | Division 2 - Södra Götaland |
How many goals should we expect?
IFK Hässleholm score 2.0 and concede 1.5 goals per match over their last 13; Lund score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| IFK Hässleholm | 2.0 | 1.5 | 3 | 9/13 | 9/13 |
| Lund | 1.2 | 1.1 | 3 | 7/13 | 5/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | IFK Hässleholm | 26 | 6 | 4 | 16 | 36 | 58 | 22 |
A question about IFK Hässleholm 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