IF Brommapojkarna vs Kalmar FF: result 2-1 and analysis
AllsvenskanRegular Season - 9Kick-off on May 18, 2018 at 05:00 PM (UTC)Grimsta IP, Stockholm
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What was the result of IF Brommapojkarna vs Kalmar FF?
IF Brommapojkarna won 2-1 on May 18, 2018.
Goalscorers
- 21′Markus GustafssonIF Brommapojkarna (pen.)
- 28′F. BjörkénIF Brommapojkarna
- 90′V. ElmKalmar FF
What is the recent form of both teams?
Over their last 15 matches in all competitions, IF Brommapojkarna have 6 wins, 2 draws and 7 defeats; Kalmar FF have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2018 | GIF Sundsvall(away) | 0-3 | Allsvenskan |
| May 6, 2018 | Djurgardens IF(home) | 1-0 | Allsvenskan |
| Apr 30, 2018 | Ostersunds FK(home) | 0-4 | Allsvenskan |
| Apr 23, 2018 | Malmo FF(away) | 1-3 | Allsvenskan |
| Apr 19, 2018 | IF Elfsborg(home) | 0-2 | Allsvenskan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2018 | Sirius(home) | 1-0 | Allsvenskan |
| May 6, 2018 | Dalkurd FF(away) | 2-1 | Allsvenskan |
| Apr 29, 2018 | Malmo FF(home) | 3-0 | Allsvenskan |
| Apr 22, 2018 | Trelleborg(away) | 1-0 | Allsvenskan |
| Apr 18, 2018 | Ostersunds FK(home) | 1-1 | Allsvenskan |
How many goals should we expect?
IF Brommapojkarna score 1.0 and concede 1.4 goals per match over their last 15; Kalmar FF score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| IF Brommapojkarna | 1.0 | 1.4 | 6 | 4/15 | 7/15 |
| Kalmar FF | 1.0 | 1.0 | 5 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
IF Brommapojkarna sit 9th in Allsvenskan (24 points from 18 matches) and Kalmar FF sit 13th (19 points from 18 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | IF Brommapojkarna | 18 | 6 | 6 | 6 | 27 | 27 | 24 |
| 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