Rosengård vs Berga: result 4-1 and analysis
Division 2 - Södra GötalandRegular Season - 10Kick-off on June 4, 2016 at 12:00 PM (UTC)Rosengårds IP (Södra), Malmö
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What was the result of Rosengård vs Berga?
Rosengård won 4-1 on June 4, 2016.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Rosengård have 7 wins, 1 draw and 1 defeat; Berga have 4, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2016 | Asarum(away) | 0-3 | Division 2 - Södra Götaland |
| May 21, 2016 | Hässleholms IF(home) | 8-1 | Division 2 - Södra Götaland |
| May 14, 2016 | Nybro(away) | 3-0 | Division 2 - Södra Götaland |
| May 9, 2016 | IFK Malmö(home) | 3-1 | Division 2 - Södra Götaland |
| May 5, 2016 | Olympic(away) | 1-0 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2016 | Lindsdal(home) | 2-1 | Division 2 - Södra Götaland |
| 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 |
How many goals should we expect?
Rosengård score 2.8 and concede 1.1 goals per match over their last 9; Berga score 1.6 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rosengård | 2.8 | 1.1 | 2 | 6/9 | 8/9 |
| Berga | 1.6 | 1.2 | 2 | 6/9 | 5/9 |
Over the last 9 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 Rosengård vs Berga?
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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