Berga vs Nässjö: result 3-1 and analysis
Division 2 - Södra GötalandRegular Season - 10Kick-off on June 9, 2018 at 12:00 PM (UTC)Bergavik IP A, Kalmar
Full time
What was the result of Berga vs Nässjö?
Berga won 3-1 on June 9, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Berga have 7 wins, 3 draws and 5 defeats; Nässjö 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 |
|---|---|---|---|
| Jun 4, 2018 | Lindsdal(away) | 4-1 | Division 2 - Södra Götaland |
| May 26, 2018 | Bromölla(home) | 0-4 | Division 2 - Södra Götaland |
| May 19, 2018 | IFK Hässleholm(away) | 1-0 | Division 2 - Södra Götaland |
| May 12, 2018 | Asarum(home) | 3-1 | Division 2 - Södra Götaland |
| May 5, 2018 | Sölvesborg(away) | 1-0 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2018 | Hässleholms IF(home) | 3-1 | Division 2 - Södra Götaland |
| May 27, 2018 | Österlen(away) | 0-2 | Division 2 - Södra Götaland |
| May 19, 2018 | Räppe(home) | 1-1 | Division 2 - Södra Götaland |
| May 9, 2018 | Dalstorps(away) | 1-1 | Division 2 - Södra Götaland |
| May 5, 2018 | Nosaby(home) | 0-0 | Division 2 - Södra Götaland |
How many goals should we expect?
Berga score 1.7 and concede 1.5 goals per match over their last 15; Nässjö score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Berga | 1.7 | 1.5 | 3 | 10/15 | 10/15 |
| Nässjö | 1.3 | 1.0 | 3 | 5/9 | 4/9 |
Over the last 15 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 Nässjö?
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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