Räppe vs Husqvarna: result 1-0 and analysis
Division 2 - Södra GötalandRegular Season - 12Kick-off on June 15, 2019 at 01:00 PM (UTC)Räppevallen, Växjö
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What was the result of Räppe vs Husqvarna?
Räppe won 1-0 on June 15, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Räppe have 5 wins, 3 draws and 7 defeats; Husqvarna have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2019 | Nässjö(away) | 3-0 | Division 2 - Södra Götaland |
| Jun 4, 2019 | Asarum(home) | 3-0 | Division 2 - Södra Götaland |
| May 30, 2019 | Karlskrona(away) | 0-3 | Division 2 - Södra Götaland |
| May 25, 2019 | Hässleholms IF(home) | 3-2 | Division 2 - Södra Götaland |
| May 18, 2019 | Dalstorps(away) | 2-3 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2019 | Östria Lambohov(away) | 4-1 | Svenska Cupen |
| Jun 8, 2019 | Berga(home) | 2-2 | Division 2 - Södra Götaland |
| Jun 2, 2019 | IFK Hässleholm(away) | 0-2 | Division 2 - Södra Götaland |
| May 29, 2019 | Bromölla(home) | 2-0 | Division 2 - Södra Götaland |
| May 26, 2019 | Råslätts(away) | 1-0 | Division 2 - Södra Götaland |
How many goals should we expect?
Räppe score 1.3 and concede 1.7 goals per match over their last 15; Husqvarna score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Räppe | 1.3 | 1.7 | 5 | 8/15 | 10/15 |
| Husqvarna | 1.7 | 1.3 | 4 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Räppe | 25 | 4 | 6 | 15 | 26 | 55 | 18 |
A question about Räppe vs Husqvarna?
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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