IF Brommapojkarna vs BK Hacken: result 2-0 and analysis
AllsvenskanRegular Season - 2Kick-off on April 9, 2018 at 05:00 PM (UTC)Grimsta IP, Stockholm
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What was the result of IF Brommapojkarna vs BK Hacken?
IF Brommapojkarna won 2-0 on April 9, 2018.
Goalscorers
- 19′Bajram AjetiIF Brommapojkarna
- 89′P. PetrovićIF Brommapojkarna
What is the recent form of both teams?
Over their last 15 matches in all competitions, IF Brommapojkarna have 7 wins, 4 draws and 4 defeats; BK Hacken have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2018 | IFK Norrkoping(away) | 1-2 | Allsvenskan |
| Nov 4, 2017 | Gefle IF(home) | 4-1 | Superettan |
| Oct 30, 2017 | Osters IF(away) | 0-0 | Superettan |
| Oct 24, 2017 | Dalkurd FF(home) | 1-0 | Superettan |
| Oct 17, 2017 | Syrianska FC(away) | 2-0 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2018 | Kalmar FF(home) | 1-0 | Allsvenskan |
| Nov 5, 2017 | Malmo FF(away) | 2-1 | Allsvenskan |
| Oct 29, 2017 | Kalmar FF(home) | 2-0 | Allsvenskan |
| Oct 22, 2017 | Djurgardens IF(away) | 1-1 | Allsvenskan |
| Oct 14, 2017 | AFC Eskilstuna(home) | 3-0 | Allsvenskan |
How many goals should we expect?
IF Brommapojkarna score 1.5 and concede 1.1 goals per match over their last 15; BK Hacken score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| IF Brommapojkarna | 1.5 | 1.1 | 6 | 8/15 | 7/15 |
| BK Hacken | 1.7 | 1.1 | 7 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
IF Brommapojkarna sit 10th in Allsvenskan (21 points from 17 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 |
| 10 | IF Brommapojkarna | 17 | 5 | 6 | 6 | 25 | 27 | 21 |
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