IFK Goteborg vs Djurgardens IF: result 2-1 and analysis
AllsvenskanRegular Season - 8Kick-off on May 9, 2016 at 05:00 PM (UTC)Gamla Ullevi, Göteborg
Full time
What was the result of IFK Goteborg vs Djurgardens IF?
IFK Goteborg won 2-1 on May 9, 2016.
Goalscorers
- 53′B. ŠabovićDjurgardens IF
- 61′G. EngvallIFK Goteborg
- 82′T. HysénIFK Goteborg
What is the recent form of both teams?
Over their last 15 matches in all competitions, IFK Goteborg have 5 wins, 5 draws and 5 defeats; Djurgardens IF have 4, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2016 | Gefle IF(away) | 6-2 | Allsvenskan |
| Apr 27, 2016 | Malmo FF(home) | 0-3 | Allsvenskan |
| Apr 24, 2016 | Orebro SK(away) | 2-3 | Allsvenskan |
| Apr 17, 2016 | Kalmar FF(home) | 1-1 | Allsvenskan |
| Apr 11, 2016 | AIK Stockholm(away) | 3-3 | Allsvenskan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2016 | Ostersunds FK(home) | 3-0 | Allsvenskan |
| Apr 28, 2016 | IF Elfsborg(away) | 0-3 | Allsvenskan |
| Apr 24, 2016 | Malmo FF(away) | 0-1 | Allsvenskan |
| Apr 19, 2016 | Hammarby FF(home) | 1-3 | Allsvenskan |
| Apr 10, 2016 | Gefle IF(away) | 2-1 | Allsvenskan |
How many goals should we expect?
IFK Goteborg score 1.4 and concede 1.1 goals per match over their last 15; Djurgardens IF score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| IFK Goteborg | 1.4 | 1.1 | 7 | 5/15 | 6/15 |
| Djurgardens IF | 1.9 | 1.1 | 3 | 2/7 | 5/7 |
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 Djurgardens IF sit 6th (26 points from 16 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Djurgardens IF | 16 | 8 | 2 | 6 | 34 | 19 | 26 |
| 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