Sirius vs IFK Goteborg: result 0-2 and analysis
AllsvenskanRegular Season - 2Kick-off on April 9, 2017 at 03:30 PM (UTC)Studenternas IP, Uppsala
Full time
What was the result of Sirius vs IFK Goteborg?
IFK Goteborg won 0-2 on April 9, 2017.
Goalscorers
- 63′M. DiskerudIFK Goteborg
- 85′Ernst Anders Mikael BomanIFK Goteborg
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sirius have 9 wins, 3 draws and 3 defeats; IFK Goteborg have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2017 | Djurgardens IF(away) | 2-0 | Allsvenskan |
| Nov 5, 2016 | Dalkurd FF(away) | 1-2 | Superettan |
| Oct 31, 2016 | IK Frej(home) | 1-1 | Superettan |
| Oct 24, 2016 | Halmstad(away) | 1-0 | Superettan |
| Oct 17, 2016 | Orgryte IS(home) | 4-1 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2017 | Malmo FF(home) | 1-1 | Allsvenskan |
| Nov 6, 2016 | IFK Norrkoping(away) | 1-3 | Allsvenskan |
| Oct 31, 2016 | IF Elfsborg(home) | 2-2 | Allsvenskan |
| Oct 27, 2016 | GIF Sundsvall(away) | 3-1 | Allsvenskan |
| Oct 24, 2016 | AIK Stockholm(home) | 1-0 | Allsvenskan |
How many goals should we expect?
Sirius score 1.6 and concede 0.6 goals per match over their last 15; IFK Goteborg score 1.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sirius | 1.6 | 0.6 | 9 | 4/15 | 3/15 |
| IFK Goteborg | 1.6 | 1.7 | 4 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Sirius sit 1st in Allsvenskan (42 points from 18 matches) and IFK Goteborg sit 12th (20 points from 18 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Sirius | 18 | 13 | 3 | 2 | 47 | 26 | 42 |
| 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