Sirius vs AFC Eskilstuna: result 0-0 and analysis
SuperettanRegular Season - 5Kick-off on May 2, 2016 at 05:00 PM (UTC)Studenternas IP, Uppsala
Full time
What was the result of Sirius vs AFC Eskilstuna?
Sirius and AFC Eskilstuna drew 0-0 on May 2, 2016.
Official lineup for Sirius vs AFC Eskilstuna
The starting elevens fielded at kick-off.
Sirius
- 9Ante Björkebaum
- 7Niklas Thor
- 8Kim Skoglund
- 11Alexander Nilsson
- 17K. Sarfo
- 19Christer Gustafsson
- 14I. Sirelius
- 3K. Larson
- 4Lars Oscar Patrik Pehrsson
- 6Patrick Hopkins
- 30Lukas Henrik Jonsson
AFC Eskilstuna
- 9S. Matic
- 10Omar Eddahri
- 19M. Turay
- 20F. Rogić
- 21Carlos Christian Gaete-Moggia
- 58O. El Kabir
- 3J. Meade
- 4D. Jarl
- 17B. Sowe
- 85I. Demir
- 31Joshua Wicks
What is the recent form of both teams?
Over their last 4 matches in all competitions, Sirius have 2 wins, 1 draw and 1 defeat; AFC Eskilstuna have 3, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2016 | IFK Varnamo(away) | 0-0 | Superettan |
| Apr 18, 2016 | Dalkurd FF(home) | 1-2 | Superettan |
| Apr 10, 2016 | Atvidabergs FF(away) | 3-0 | Superettan |
| Apr 4, 2016 | Halmstad(home) | 2-1 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2016 | Ljungskile SK(home) | 1-0 | Superettan |
| Apr 18, 2016 | Trelleborg(away) | 0-1 | Superettan |
| Apr 9, 2016 | Gais(home) | 3-0 | Superettan |
| Apr 3, 2016 | Degerfors IF(away) | 2-0 | Superettan |
How many goals should we expect?
Sirius score 1.5 and concede 0.8 goals per match over their last 4; AFC Eskilstuna score 1.5 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sirius | 1.5 | 0.8 | 2 | 2/4 | 3/4 |
| AFC Eskilstuna | 1.5 | 0.3 | 3 | 0/4 | 1/4 |
Over the last 4 matches in all competitions.
A question about Sirius vs AFC Eskilstuna?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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