Kalmar FF vs BK Hacken: result 1-1 and analysis
AllsvenskanRegular Season - 11Kick-off on May 22, 2016 at 01:00 PM (UTC)Guldfågeln Arena, Kalmar
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What was the result of Kalmar FF vs BK Hacken?
Kalmar FF and BK Hacken drew 1-1 on May 22, 2016.
Goalscorers
- 61′Paulo José de OliveiraBK Hacken
- 66′M. AntonssonKalmar FF (pen.)
What is the recent form of both teams?
Over their last 10 matches in all competitions, Kalmar FF have 3 wins, 3 draws and 4 defeats; BK Hacken have 4, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2016 | Djurgardens IF(away) | 3-0 | Allsvenskan |
| May 14, 2016 | Hammarby FF(home) | 1-1 | Allsvenskan |
| May 7, 2016 | Ostersunds FK(away) | 0-1 | Allsvenskan |
| May 2, 2016 | Orebro SK(home) | 3-2 | Allsvenskan |
| Apr 28, 2016 | GIF Sundsvall(away) | 1-1 | Allsvenskan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2016 | Jonkopings Sodra(home) | 3-1 | Allsvenskan |
| May 15, 2016 | Falkenbergs FF(away) | 4-1 | Allsvenskan |
| May 8, 2016 | AIK Stockholm(home) | 2-3 | Allsvenskan |
| May 1, 2016 | Malmo FF(away) | 0-3 | Allsvenskan |
| Apr 28, 2016 | Gefle IF(home) | 6-1 | Allsvenskan |
How many goals should we expect?
Kalmar FF score 1.5 and concede 1.6 goals per match over their last 10; BK Hacken score 1.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalmar FF | 1.5 | 1.6 | 1 | 7/10 | 5/10 |
| BK Hacken | 1.9 | 1.6 | 0 | 7/10 | 8/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Kalmar FF sit 13th in Allsvenskan (19 points from 18 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 |
| 13 | Kalmar FF | 18 | 5 | 4 | 9 | 21 | 28 | 19 |
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