Syrianska FC vs IF Brommapojkarna: result 1-0 and analysis
SuperettanRegular Season - 10Kick-off on May 25, 2019 at 02:00 PM (UTC)Södertälje Fotbollsarena, Södertälje
Full time
What was the result of Syrianska FC vs IF Brommapojkarna?
Syrianska FC won 1-0 on May 25, 2019.
Goalscorers
- 48′A. StadlerSyrianska FC
What is the recent form of both teams?
Over their last 15 matches in all competitions, Syrianska FC have 5 wins, 4 draws and 6 defeats; IF Brommapojkarna have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2019 | IK brage(away) | 0-1 | Superettan |
| May 16, 2019 | Vasteras SK FK(away) | 0-0 | Superettan |
| May 12, 2019 | Mjallby AIF(home) | 1-2 | Superettan |
| May 6, 2019 | Dalkurd FF(away) | 1-4 | Superettan |
| Apr 28, 2019 | Gais(home) | 0-0 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2019 | Jonkopings Sodra(home) | 0-2 | Superettan |
| May 15, 2019 | IK Frej(away) | 1-1 | Superettan |
| May 11, 2019 | Degerfors IF(home) | 2-3 | Superettan |
| May 3, 2019 | Norrby IF(away) | 0-2 | Superettan |
| Apr 27, 2019 | Halmstad(home) | 2-1 | Superettan |
What does the head-to-head say?
Across the last 2 meetings: 0 Syrianska FC win(s), 0 draw(s), 2 IF Brommapojkarna win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 17, 2017 | Syrianska FC 0-2 IF Brommapojkarna | Superettan |
| May 16, 2017 | IF Brommapojkarna 2-1 Syrianska FC | Superettan |
Last archived meeting: Syrianska FC vs IF Brommapojkarna on Oct 17, 2017
How many goals should we expect?
Syrianska FC score 1.5 and concede 1.7 goals per match over their last 15; IF Brommapojkarna score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Syrianska FC | 1.5 | 1.7 | 3 | 10/15 | 10/15 |
| IF Brommapojkarna | 1.3 | 1.9 | 2 | 8/15 | 10/15 |
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