Berga vs Lindsdal: result 2-1 and analysis
Division 2 - Södra GötalandRegular Season - 9Kick-off on May 27, 2016 at 05:00 PM (UTC)Guldfågeln Arena, Kalmar
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What was the result of Berga vs Lindsdal?
Berga won 2-1 on May 27, 2016.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Berga have 3 wins, 3 draws and 2 defeats; Lindsdal have 5, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | IFK Hässleholm(away) | 2-2 | Division 2 - Södra Götaland |
| May 13, 2016 | Karlskrona(home) | 0-2 | Division 2 - Södra Götaland |
| May 8, 2016 | Kvarnby(away) | 0-0 | Division 2 - Södra Götaland |
| May 5, 2016 | Lund(home) | 2-0 | Division 2 - Södra Götaland |
| Apr 30, 2016 | Torns(away) | 2-1 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Asarum(home) | 4-0 | Division 2 - Södra Götaland |
| May 13, 2016 | Hässleholms IF(away) | 1-8 | Division 2 - Södra Götaland |
| May 9, 2016 | Nybro(home) | 7-2 | Division 2 - Södra Götaland |
| May 4, 2016 | IFK Malmö(away) | 1-2 | Division 2 - Södra Götaland |
| Apr 29, 2016 | Olympic(home) | 2-1 | Division 2 - Södra Götaland |
How many goals should we expect?
Berga score 1.5 and concede 1.3 goals per match over their last 8; Lindsdal score 2.6 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Berga | 1.5 | 1.3 | 2 | 5/8 | 4/8 |
| Lindsdal | 2.6 | 2.0 | 2 | 6/8 | 7/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Berga | 25 | 13 | 4 | 8 | 55 | 37 | 43 |
A question about Berga vs Lindsdal?
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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