Assyriska BK vs Husqvarna: result 4-3 and analysis
Ettan - SödraRegular Season - 3Kick-off on April 29, 2017 at 02:00 PM (UTC)Ruddalens IP 1, Västra Frölunda
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What was the result of Assyriska BK vs Husqvarna?
Assyriska BK won 4-3 on April 29, 2017.
Goalscorers
- 6′E. HamidovicHusqvarna
- 15′Sonny KarlssonAssyriska BK
- 34′Amir Al AmmariHusqvarna
- 36′Daniel Albano NevesAssyriska BK
- 40′E. HamidovicHusqvarna
- 76′198922Assyriska BK
- 80′D. Garcia OlssonAssyriska BK
What is the recent form of both teams?
Over their last 15 matches in all competitions, Assyriska BK have 12 wins, 0 draws and 3 defeats; Husqvarna have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2017 | Landskrona BoIS(away) | 0-2 | Ettan - Södra |
| Apr 16, 2017 | Oddevold(home) | 2-1 | Ettan - Södra |
| Oct 16, 2016 | Höganäs(away) | 3-6 | Division 2 - Västra Götaland |
| Oct 8, 2016 | Lindome(home) | 1-0 | Division 2 - Västra Götaland |
| Oct 1, 2016 | Laholm(home) | 1-0 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2017 | Oskarshamns AIK(away) | 1-2 | Ettan - Södra |
| Apr 17, 2017 | Landskrona BoIS(home) | 1-2 | Ettan - Södra |
| Nov 5, 2016 | Norrby IF(home) | 5-1 | Ettan - Södra |
| Oct 29, 2016 | Kristianstad(away) | 1-1 | Ettan - Södra |
| Oct 23, 2016 | Oskarshamns AIK(home) | 3-2 | Ettan - Södra |
How many goals should we expect?
Assyriska BK score 1.9 and concede 1.1 goals per match over their last 15; Husqvarna score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Assyriska BK | 1.9 | 1.1 | 7 | 6/15 | 9/15 |
| Husqvarna | 1.6 | 1.5 | 2 | 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 |
|---|---|---|---|---|---|---|---|---|
| 15 | Husqvarna | 30 | 8 | 7 | 15 | 47 | 55 | 31 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy