Qviding FIF vs BK Hacken: result 1-3 and analysis
Svenska Cupen2nd RoundKick-off on August 21, 2019 at 04:00 PM (UTC)Valhalla IP, Göteborg
Full time
What was the result of Qviding FIF vs BK Hacken?
BK Hacken won 1-3 on August 21, 2019.
Goalscorers
- 35′Paulo José de OliveiraBK Hacken (pen.)
- 74′Julius LindbergQviding FIF
- 84′Paulo José de OliveiraBK Hacken
- 90′Ahmed Yasin Ghani MousaBK Hacken
What is the recent form of both teams?
Over their last 15 matches in all competitions, Qviding FIF have 8 wins, 2 draws and 5 defeats; BK Hacken have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 17, 2019 | Onsala(home) | 1-1 | Division 2 - Västra Götaland |
| Aug 10, 2019 | Prespa Birlik(away) | 3-2 | Division 2 - Västra Götaland |
| Aug 3, 2019 | IFK Malmö(home) | 2-0 | Division 2 - Västra Götaland |
| Jun 29, 2019 | Angelholms FF(away) | 0-3 | Division 2 - Västra Götaland |
| Jun 26, 2019 | Prespa Birlik(home) | 6-0 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2019 | Orebro SK(away) | 2-1 | Allsvenskan |
| Aug 11, 2019 | Malmo FF(home) | 1-1 | Allsvenskan |
| Aug 4, 2019 | Sirius(home) | 4-1 | Allsvenskan |
| Aug 1, 2019 | AZ Alkmaar(home) | 0-3 | UEFA Europa League |
| Jul 28, 2019 | Djurgardens IF(away) | 0-2 | Allsvenskan |
How many goals should we expect?
Qviding FIF score 3.1 and concede 1.7 goals per match over their last 15; BK Hacken score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Qviding FIF | 3.1 | 1.7 | 5 | 9/15 | 12/15 |
| BK Hacken | 1.4 | 1.1 | 6 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | BK Hacken | 3 | 3 | 0 | 0 | 13 | 2 | 9 |
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