Husqvarna vs Dalstorps: result 1-1 and analysis
Division 2 - Södra GötalandRegular Season - 2Kick-off on April 13, 2019 at 12:00 PM (UTC)Vapenvallen, Huskvarna
Full time
What was the result of Husqvarna vs Dalstorps?
Husqvarna and Dalstorps drew 1-1 on April 13, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Husqvarna have 3 wins, 3 draws and 9 defeats; Dalstorps have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2019 | Österlen(away) | 3-1 | Division 2 - Södra Götaland |
| Nov 10, 2018 | Grebbestad(home) | 2-3 | Ettan - Södra |
| Nov 3, 2018 | Atvidabergs FF(away) | 2-3 | Ettan - Södra |
| Oct 27, 2018 | Oddevold(home) | 2-3 | Ettan - Södra |
| Oct 20, 2018 | Lund(away) | 0-2 | Ettan - Södra |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2019 | Nässjö(home) | 2-0 | Division 2 - Södra Götaland |
| Oct 21, 2018 | Berga(away) | 0-3 | Division 2 - Södra Götaland |
| Oct 13, 2018 | Assyriska Turabdin(home) | 4-0 | Division 2 - Södra Götaland |
| Oct 6, 2018 | Råslätts(away) | 3-3 | Division 2 - Södra Götaland |
| Sep 29, 2018 | Österlen(away) | 2-2 | Division 2 - Södra Götaland |
How many goals should we expect?
Husqvarna score 1.5 and concede 2.1 goals per match over their last 15; Dalstorps score 1.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Husqvarna | 1.5 | 2.1 | 1 | 10/15 | 10/15 |
| Dalstorps | 1.9 | 1.4 | 4 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Husqvarna vs Dalstorps?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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