Sirius vs Assyriska FF: result 5-3 and analysis
SuperettanRegular Season - 16Kick-off on July 24, 2016 at 04:00 PM (UTC)Studenternas IP, Uppsala
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What was the result of Sirius vs Assyriska FF?
Sirius won 5-3 on July 24, 2016.
Goalscorers
- 2′Dragan KapcevicSirius
- 23′Dragan KapcevicSirius
- 32′M. OgbuSirius
- 38′Linus MalmborgAssyriska FF
- 41′Daniel SliperAssyriska FF
- 47′T. WakerAssyriska FF
- 58′Dragan KapcevicSirius
- 69′Dragan KapcevicSirius
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sirius have 9 wins, 4 draws and 2 defeats; Assyriska FF have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 3, 2016 | Assyriska FF(away) | 2-1 | Superettan |
| Jun 26, 2016 | Angelholms FF(home) | 1-0 | Superettan |
| Jun 19, 2016 | Ljungskile SK(home) | 3-1 | Superettan |
| Jun 11, 2016 | Gais(away) | 0-0 | Superettan |
| Jun 4, 2016 | Trelleborg(home) | 2-1 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 3, 2016 | Sirius(home) | 1-2 | Superettan |
| Jun 26, 2016 | Trelleborg(away) | 0-2 | Superettan |
| Jun 19, 2016 | Syrianska FC(home) | 1-1 | Superettan |
| Jun 12, 2016 | Ljungskile SK(away) | 1-1 | Superettan |
| Jun 6, 2016 | Gais(home) | 2-2 | Superettan |
What does the head-to-head say?
Across the last 1 meetings: 1 Sirius win(s), 0 draw(s), 0 Assyriska FF win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 3, 2016 | Assyriska FF 1-2 Sirius | Superettan |
Last archived meeting: Assyriska FF vs Sirius on Jul 3, 2016
How many goals should we expect?
Sirius score 1.8 and concede 0.7 goals per match over their last 15; Assyriska FF score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sirius | 1.8 | 0.7 | 6 | 8/15 | 10/15 |
| Assyriska FF | 1.1 | 1.3 | 2 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
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