Kumla vs Örebro Syrianska: result 0-0 and analysis
Division 2 - Norra GötalandRegular Season - 13Kick-off on June 25, 2016 at 02:00 PM (UTC)Kumla IP, Kumla
Full time
What was the result of Kumla vs Örebro Syrianska?
Kumla and Örebro Syrianska drew 0-0 on June 25, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Kumla have 6 wins, 1 draw and 5 defeats; Örebro Syrianska have 5, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2016 | Skoftebyn(away) | 1-2 | Division 2 - Norra Götaland |
| Jun 11, 2016 | Stenungsund(home) | 3-1 | Division 2 - Norra Götaland |
| Jun 4, 2016 | Karlstad(away) | 0-4 | Division 2 - Norra Götaland |
| May 28, 2016 | Kortedala(home) | 4-0 | Division 2 - Norra Götaland |
| May 21, 2016 | Vänersborgs IF(away) | 1-7 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2016 | Grebbestad(home) | 3-2 | Division 2 - Norra Götaland |
| 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 |
How many goals should we expect?
Kumla score 1.6 and concede 2.3 goals per match over their last 12; Örebro Syrianska score 1.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kumla | 1.6 | 2.3 | 3 | 6/12 | 9/12 |
| Örebro Syrianska | 1.9 | 2.1 | 3 | 8/12 | 11/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Kumla | 26 | 7 | 8 | 11 | 29 | 46 | 29 |
A question about Kumla vs Örebro Syrianska?
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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