Djurgardens IF vs AFC Eskilstuna: result 4-1 and analysis
AllsvenskanRegular Season - 11Kick-off on May 27, 2017 at 02:00 PM (UTC)Tele2 Arena, Stockholm
Full time
What was the result of Djurgardens IF vs AFC Eskilstuna?
Djurgardens IF won 4-1 on May 27, 2017.
Goalscorers
- 28′K. WalkerDjurgardens IF
- 52′K. MrabtiDjurgardens IF
- 60′Omar EddahriAFC Eskilstuna
- 64′O. El KabirDjurgardens IF
- 76′K. WalkerDjurgardens IF
What is the recent form of both teams?
Over their last 15 matches in all competitions, Djurgardens IF have 7 wins, 3 draws and 5 defeats; AFC Eskilstuna have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2017 | AIK Stockholm(home) | 0-1 | Allsvenskan |
| May 18, 2017 | Jonkopings Sodra(away) | 1-1 | Allsvenskan |
| May 15, 2017 | IFK Goteborg(home) | 1-0 | Allsvenskan |
| May 7, 2017 | Orebro SK(away) | 4-0 | Allsvenskan |
| May 1, 2017 | IFK Norrkoping(home) | 3-3 | Allsvenskan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2017 | BK Hacken(home) | 0-0 | Allsvenskan |
| May 18, 2017 | IF Elfsborg(away) | 1-2 | Allsvenskan |
| May 12, 2017 | IFK Norrkoping(home) | 1-2 | Allsvenskan |
| May 7, 2017 | Jonkopings Sodra(away) | 0-1 | Allsvenskan |
| Apr 29, 2017 | Hammarby FF(away) | 0-4 | Allsvenskan |
How many goals should we expect?
Djurgardens IF score 1.7 and concede 1.3 goals per match over their last 15; AFC Eskilstuna score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Djurgardens IF | 1.7 | 1.3 | 6 | 6/15 | 7/15 |
| AFC Eskilstuna | 1.1 | 1.3 | 6 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Djurgardens IF | 16 | 8 | 2 | 6 | 34 | 19 | 26 |
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