Sirius vs Dalkurd FF: result 1-2 and analysis
SuperettanRegular Season - 3Kick-off on April 18, 2016 at 05:30 PM (UTC)Studenternas IP, Uppsala
Full time
What was the result of Sirius vs Dalkurd FF?
Dalkurd FF won 1-2 on April 18, 2016.
Goalscorers
- 61′Dragan KapcevicSirius
- 74′H. LöfkvistDalkurd FF
- 79′L. PllanaDalkurd FF
Official lineup for Sirius vs Dalkurd FF
The starting elevens fielded at kick-off.
Sirius
- 10Dragan Kapcevic
- 7Niklas Thor
- 8Kim Skoglund
- 11Alexander Nilsson
- 17K. Sarfo
- 19Christer Gustafsson
- 14I. Sirelius
- 3K. Larson
- 4Lars Oscar Patrik Pehrsson
- 13Kutjim Bala
- 1Benny Lekström
Dalkurd FF
- 7Rawez Lawan
- 10Ahmed Awad Mohammad
- 22Mirkan Aydın
- 8D. Montiel
- 14Simon Stenberg
- 20P. Ranđelović
- 24H. Rashidi
- 3J. Nyholm
- 15Alexander Ekblad
- 16H. Löfkvist
- 1Frank Thomas Pettersson
What is the recent form of both teams?
Over their last 2 matches in all competitions, Sirius have 2 wins, 0 draws and 0 defeats; Dalkurd FF have 0, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2016 | Atvidabergs FF(away) | 3-0 | Superettan |
| Apr 4, 2016 | Halmstad(home) | 2-1 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2016 | Varbergs BoIS FC(home) | 1-1 | Superettan |
| Apr 3, 2016 | Assyriska FF(away) | 1-2 | Superettan |
How many goals should we expect?
Sirius score 2.5 and concede 0.5 goals per match over their last 2; Dalkurd FF score 1.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sirius | 2.5 | 0.5 | 1 | 1/2 | 2/2 |
| Dalkurd FF | 1.0 | 1.5 | 0 | 2/2 | 1/2 |
Over the last 2 matches in all competitions.
A question about Sirius vs Dalkurd FF?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy