IFK Goteborg vs Hammarby FF: result 2-1 and analysis
AllsvenskanRegular Season - 11Kick-off on May 23, 2016 at 05:00 PM (UTC)Gamla Ullevi, Göteborg
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What was the result of IFK Goteborg vs Hammarby FF?
IFK Goteborg won 2-1 on May 23, 2016.
Goalscorers
- 7′M. Smedberg-DalenceIFK Goteborg
- 67′Ernst Anders Mikael BomanIFK Goteborg
- 87′B. SævarssonHammarby FF
What is the recent form of both teams?
Over their last 15 matches in all competitions, IFK Goteborg have 5 wins, 6 draws and 4 defeats; Hammarby FF have 2, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2016 | IFK Norrkoping(home) | 1-1 | Allsvenskan |
| May 15, 2016 | Ostersunds FK(away) | 0-2 | Allsvenskan |
| May 9, 2016 | Djurgardens IF(home) | 2-1 | Allsvenskan |
| May 2, 2016 | Gefle IF(away) | 6-2 | Allsvenskan |
| Apr 27, 2016 | Malmo FF(home) | 0-3 | Allsvenskan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2016 | Malmo FF(home) | 2-3 | Allsvenskan |
| May 14, 2016 | Kalmar FF(away) | 1-1 | Allsvenskan |
| May 9, 2016 | Orebro SK(away) | 2-3 | Allsvenskan |
| May 1, 2016 | GIF Sundsvall(home) | 1-1 | Allsvenskan |
| Apr 26, 2016 | IFK Norrkoping(away) | 1-3 | Allsvenskan |
How many goals should we expect?
IFK Goteborg score 1.4 and concede 1.2 goals per match over their last 15; Hammarby FF score 1.8 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| IFK Goteborg | 1.4 | 1.2 | 6 | 7/15 | 6/15 |
| Hammarby FF | 1.8 | 1.9 | 0 | 10/10 | 6/10 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
IFK Goteborg sit 12th in Allsvenskan (20 points from 18 matches) and Hammarby FF sit 2nd (33 points from 17 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Hammarby FF | 17 | 10 | 3 | 4 | 40 | 15 | 33 |
| 12 | IFK Goteborg | 18 | 5 | 5 | 8 | 23 | 39 | 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