Gais vs Sirius: result 0-0 and analysis
SuperettanRegular Season - 12Kick-off on June 11, 2016 at 02:00 PM (UTC)Gamla Ullevi, Göteborg
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What was the result of Gais vs Sirius?
Gais and Sirius drew 0-0 on June 11, 2016.
Official lineup for Gais vs Sirius
The starting elevens fielded at kick-off.
Gais
- 5L. Singh
- 10L. Mijaljevic
- 11K. Cadogan
- 3Liam Davis
- 21Johan Lundgren
- 4Steven David Old
- 6Carl Nyström
- 16J. Ramhorn
- 26M. Moënza
- 29Danny Ervik
- 1T. Vaiho
Sirius
- 9Ante Björkebaum
- 5P. Torres
- 7Niklas Thor
- 11Alexander Nilsson
- 12O. Kindlund
- 17K. Sarfo
- 2J. Bergman
- 3K. Larson
- 6Patrick Hopkins
- 16Carl Johan Josef Andersson
- 30Lukas Henrik Jonsson
What is the recent form of both teams?
Over their last 11 matches in all competitions, Gais have 3 wins, 6 draws and 2 defeats; Sirius have 6, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 6, 2016 | Assyriska FF(away) | 2-2 | Superettan |
| May 29, 2016 | Trelleborg(away) | 1-1 | Superettan |
| May 22, 2016 | Angelholms FF(home) | 7-0 | Superettan |
| May 15, 2016 | IFK Varnamo(away) | 1-1 | Superettan |
| May 11, 2016 | Atvidabergs FF(home) | 1-0 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2016 | Trelleborg(home) | 2-1 | Superettan |
| May 28, 2016 | Varbergs BoIS FC(away) | 0-1 | Superettan |
| May 21, 2016 | Degerfors IF(home) | 6-0 | Superettan |
| May 15, 2016 | Orgryte IS(away) | 2-1 | Superettan |
| May 11, 2016 | Syrianska FC(home) | 3-1 | Superettan |
How many goals should we expect?
Gais score 1.5 and concede 1.1 goals per match over their last 11; Sirius score 1.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gais | 1.5 | 1.1 | 4 | 5/11 | 4/11 |
| Sirius | 1.9 | 0.8 | 4 | 6/11 | 8/11 |
Over the last 11 matches in all competitions.
A question about Gais vs Sirius?
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