Skoftebyn vs Kumla: result 2-1 and analysis
Division 2 - Norra GötalandRegular Season - 12Kick-off on June 18, 2016 at 02:00 PM (UTC)Nysätra IP, Trollhättan
Full time
What was the result of Skoftebyn vs Kumla?
Skoftebyn won 2-1 on June 18, 2016.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Skoftebyn have 3 wins, 4 draws and 4 defeats; Kumla have 6, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 11, 2016 | Grebbestad(away) | 2-0 | Division 2 - Norra Götaland |
| Jun 4, 2016 | Gauthiod(home) | 0-1 | Division 2 - Norra Götaland |
| May 26, 2016 | Skövde AIK(away) | 0-0 | Division 2 - Norra Götaland |
| May 20, 2016 | Gunnilse(home) | 1-2 | Division 2 - Norra Götaland |
| May 14, 2016 | Lidköping(away) | 1-4 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 16, 2016 | Rynninge(home) | 3-2 | Division 2 - Norra Götaland |
How many goals should we expect?
Skoftebyn score 1.2 and concede 1.4 goals per match over their last 11; Kumla score 1.6 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skoftebyn | 1.2 | 1.4 | 4 | 5/11 | 6/11 |
| Kumla | 1.6 | 2.4 | 3 | 5/11 | 8/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Kumla | 25 | 6 | 8 | 11 | 26 | 45 | 26 |
A question about Skoftebyn vs Kumla?
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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