Djurgardens IF vs Mjallby AIF: result 1-2 and analysis
Svenska CupenGroup Stage - 3Kick-off on March 7, 2020 at 01:30 PM (UTC)Tele2 Arena, Stockholm
Full time
What was the result of Djurgardens IF vs Mjallby AIF?
Mjallby AIF won 1-2 on March 7, 2020.
Goalscorers
- 16′J. AugustinssonDjurgardens IF
- 29′M. MoroMjallby AIF
- 70′J. LöfgrenMjallby AIF
What is the recent form of both teams?
Over their last 15 matches in all competitions, Djurgardens IF have 11 wins, 2 draws and 2 defeats; Mjallby AIF have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2020 | Sandviken(away) | 2-2 | Svenska Cupen |
| Feb 22, 2020 | Dalkurd FF(home) | 3-2 | Svenska Cupen |
| Nov 2, 2019 | IFK Norrkoping(away) | 2-2 | Allsvenskan |
| Oct 28, 2019 | Orebro SK(home) | 3-0 | Allsvenskan |
| Oct 21, 2019 | IFK Goteborg(away) | 1-0 | Allsvenskan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2020 | Dalkurd FF(home) | 5-0 | Svenska Cupen |
| Feb 22, 2020 | Sandviken(away) | 3-1 | Svenska Cupen |
| Nov 3, 2019 | Varbergs BoIS FC(away) | 1-1 | Superettan |
| Oct 28, 2019 | Syrianska FC(home) | 2-0 | Superettan |
| Oct 19, 2019 | Vasteras SK FK(away) | 2-2 | Superettan |
How many goals should we expect?
Djurgardens IF score 2.1 and concede 0.8 goals per match over their last 15; Mjallby AIF score 2.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Djurgardens IF | 2.1 | 0.8 | 7 | 7/15 | 10/15 |
| Mjallby AIF | 2.1 | 1.0 | 5 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Djurgardens IF sit 1st in Svenska Cupen (9 points from 3 matches) and Mjallby AIF sit 1st (9 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Djurgardens IF | 3 | 3 | 0 | 0 | 10 | 3 | 9 |
| 1 | Mjallby AIF | 3 | 3 | 0 | 0 | 6 | 3 | 9 |
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