Örebro Syrianska vs Grebbestad: result 3-2 and analysis
Division 2 - Norra GötalandRegular Season - 12Kick-off on June 18, 2016 at 02:00 PM (UTC)Örnsro IP, Örebro
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What was the result of Örebro Syrianska vs Grebbestad?
Örebro Syrianska won 3-2 on June 18, 2016.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Örebro Syrianska have 4 wins, 2 draws and 5 defeats; Grebbestad have 3, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 11, 2016 | Gauthiod(away) | 0-0 | Division 2 - Norra Götaland |
| Jun 1, 2016 | Skövde AIK(home) | 3-3 | Division 2 - Norra Götaland |
| May 28, 2016 | Gunnilse(away) | 1-4 | Division 2 - Norra Götaland |
| May 21, 2016 | Lidköping(home) | 2-4 | Division 2 - Norra Götaland |
| May 14, 2016 | Uddevalla(away) | 2-3 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 11, 2016 | Skoftebyn(home) | 0-2 | Division 2 - Norra Götaland |
| Jun 2, 2016 | Stenungsund(away) | 0-2 | Division 2 - Norra Götaland |
| May 28, 2016 | Karlstad(home) | 0-3 | Division 2 - Norra Götaland |
| May 21, 2016 | Kortedala(away) | 1-1 | Division 2 - Norra Götaland |
| May 13, 2016 | Vänersborgs IF(home) | 0-3 | Division 2 - Norra Götaland |
How many goals should we expect?
Örebro Syrianska score 1.8 and concede 2.1 goals per match over their last 11; Grebbestad score 1.3 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Örebro Syrianska | 1.8 | 2.1 | 3 | 7/11 | 10/11 |
| Grebbestad | 1.3 | 2.0 | 1 | 5/11 | 6/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Grebbestad | 25 | 12 | 4 | 9 | 44 | 37 | 40 |
A question about Örebro Syrianska vs Grebbestad?
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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