Råslätts vs Husqvarna: result 0-1 and analysis
Division 2 - Södra GötalandRegular Season - 8Kick-off on May 26, 2019 at 01:00 PM (UTC)Råslätts IP, Jönköping
Full time
What was the result of Råslätts vs Husqvarna?
Husqvarna won 0-1 on May 26, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Råslätts have 7 wins, 3 draws and 5 defeats; Husqvarna have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2019 | Nässjö(away) | 1-2 | Division 2 - Södra Götaland |
| May 11, 2019 | Asarum(home) | 2-0 | Division 2 - Södra Götaland |
| May 4, 2019 | Karlskrona(away) | 2-4 | Division 2 - Södra Götaland |
| Apr 27, 2019 | Hässleholms IF(home) | 0-1 | Division 2 - Södra Götaland |
| Apr 18, 2019 | Dalstorps(away) | 0-1 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2019 | Nosaby(home) | 2-1 | Division 2 - Södra Götaland |
| May 11, 2019 | Nässjö(home) | 1-0 | Division 2 - Södra Götaland |
| May 4, 2019 | Asarum(away) | 2-1 | Division 2 - Södra Götaland |
| Apr 27, 2019 | Karlskrona(home) | 1-2 | Division 2 - Södra Götaland |
| Apr 19, 2019 | Hässleholms IF(away) | 1-0 | Division 2 - Södra Götaland |
How many goals should we expect?
Råslätts score 1.9 and concede 1.4 goals per match over their last 15; Husqvarna score 1.4 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Råslätts | 1.9 | 1.4 | 5 | 7/15 | 8/15 |
| Husqvarna | 1.4 | 1.6 | 3 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Råslätts vs Husqvarna?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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