Gais vs Syrianska FC: result 0-1 and analysis
SuperettanRegular Season - 17Kick-off on July 27, 2019 at 02:00 PM (UTC)Gamla Ullevi, Göteborg
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What was the result of Gais vs Syrianska FC?
Syrianska FC won 0-1 on July 27, 2019.
Goalscorers
- 52′A. StadlerSyrianska FC
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gais have 5 wins, 3 draws and 7 defeats; Syrianska FC have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 24, 2019 | Norrby IF(home) | 1-0 | Superettan |
| Jul 20, 2019 | Degerfors IF(away) | 1-0 | Superettan |
| Jul 14, 2019 | Dalkurd FF(home) | 1-5 | Superettan |
| Jun 24, 2019 | Degerfors IF(home) | 0-3 | Superettan |
| Jun 17, 2019 | Orgryte IS(away) | 0-1 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2019 | IK brage(home) | 0-2 | Superettan |
| Jul 13, 2019 | Trelleborg(away) | 2-1 | Superettan |
| Jun 24, 2019 | Norrby IF(away) | 2-3 | Superettan |
| Jun 14, 2019 | Jonkopings Sodra(home) | 2-1 | Superettan |
| Jun 4, 2019 | Orgryte IS(away) | 0-2 | Superettan |
What does the head-to-head say?
Across the last 5 meetings: 1 Gais win(s), 2 draw(s), 2 Syrianska FC win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 28, 2019 | Syrianska FC 0-0 Gais | Superettan |
| Aug 12, 2017 | Gais 2-1 Syrianska FC | Superettan |
| Apr 16, 2017 | Syrianska FC 2-1 Gais | Superettan |
| Nov 5, 2016 | Syrianska FC 1-0 Gais | Superettan |
| Apr 16, 2016 | Gais 1-1 Syrianska FC | Superettan |
How many goals should we expect?
Gais score 0.7 and concede 1.4 goals per match over their last 15; Syrianska FC score 1.1 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gais | 0.7 | 1.4 | 4 | 6/15 | 6/15 |
| Syrianska FC | 1.1 | 1.8 | 4 | 8/15 | 9/15 |
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