Mjallby AIF vs BK Hacken: result 3-1 and analysis
AllsvenskanRegular Season - 7Kick-off on July 12, 2020 at 03:30 PM (UTC)Strandvallen, Sölvesborg
Full time
What was the result of Mjallby AIF vs BK Hacken?
Mjallby AIF won 3-1 on July 12, 2020.
Goalscorers
- 31′B. ŠabovićMjallby AIF
- 46′M. MoroMjallby AIF
- 52′M. MoroMjallby AIF
- 54′V. AgardiusBK Hacken (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mjallby AIF have 9 wins, 4 draws and 2 defeats; BK Hacken have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 9, 2020 | Malmo FF(home) | 0-0 | Svenska Cupen |
| Jul 6, 2020 | Ostersunds FK(away) | 1-0 | Allsvenskan |
| Jul 2, 2020 | Helsingborg(away) | 1-0 | Allsvenskan |
| Jun 28, 2020 | Hammarby FF(home) | 2-1 | Allsvenskan |
| Jun 25, 2020 | Falkenbergs FF(home) | 1-0 | Svenska Cupen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 5, 2020 | Hammarby FF(home) | 3-0 | Allsvenskan |
| Jul 2, 2020 | Orebro SK(away) | 0-0 | Allsvenskan |
| Jun 29, 2020 | Helsingborg(home) | 1-0 | Allsvenskan |
| Jun 25, 2020 | IF Elfsborg(home) | 1-2 | Svenska Cupen |
| Jun 22, 2020 | Sirius(away) | 2-2 | Allsvenskan |
How many goals should we expect?
Mjallby AIF score 1.7 and concede 0.9 goals per match over their last 15; BK Hacken score 2.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mjallby AIF | 1.7 | 0.9 | 6 | 7/15 | 7/15 |
| BK Hacken | 2.1 | 0.9 | 7 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Mjallby AIF sit 11th in Allsvenskan (20 points from 16 matches) and BK Hacken sit 3rd (31 points from 18 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | BK Hacken | 18 | 8 | 7 | 3 | 32 | 26 | 31 |
| 11 | Mjallby AIF | 16 | 5 | 5 | 6 | 24 | 23 | 20 |
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