BK Hacken vs Halmstad: result 2-1 and analysis
AllsvenskanRegular Season - 9Kick-off on May 17, 2017 at 05:00 PM (UTC)Bravida Arena, Göteborg
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What was the result of BK Hacken vs Halmstad?
BK Hacken won 2-1 on May 17, 2017.
Goalscorers
- 35′Fredrik OlssonHalmstad
- 42′Alhassan Hæstad KamaraBK Hacken
- 56′R. LindgrenBK Hacken
What is the recent form of both teams?
Over their last 15 matches in all competitions, BK Hacken have 4 wins, 6 draws and 5 defeats; Halmstad have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2017 | Kalmar FF(away) | 1-0 | Allsvenskan |
| May 5, 2017 | Sirius(home) | 2-2 | Allsvenskan |
| May 2, 2017 | IFK Goteborg(home) | 4-0 | Allsvenskan |
| Apr 26, 2017 | Orebro SK(away) | 0-0 | Allsvenskan |
| Apr 23, 2017 | IFK Norrkoping(home) | 1-2 | Allsvenskan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2017 | Hammarby FF(home) | 1-2 | Allsvenskan |
| May 6, 2017 | AIK Stockholm(home) | 0-1 | Allsvenskan |
| May 1, 2017 | Kalmar FF(away) | 0-2 | Allsvenskan |
| Apr 27, 2017 | Djurgardens IF(home) | 0-1 | Allsvenskan |
| Apr 23, 2017 | AFC Eskilstuna(away) | 0-0 | Allsvenskan |
How many goals should we expect?
BK Hacken score 1.5 and concede 1.1 goals per match over their last 15; Halmstad score 0.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BK Hacken | 1.5 | 1.1 | 7 | 7/15 | 8/15 |
| Halmstad | 0.8 | 1.3 | 4 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
BK Hacken sit 3rd in Allsvenskan (31 points from 18 matches) and Halmstad sit 16th (8 points from 18 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | BK Hacken | 18 | 8 | 7 | 3 | 32 | 26 | 31 |
| 16 | Halmstad | 18 | 1 | 5 | 12 | 12 | 35 | 8 |
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