Kumla vs Stenungsund: result 3-1 and analysis
Division 2 - Norra GötalandRegular Season - 11Kick-off on June 11, 2016 at 02:00 PM (UTC)Kumla IP, Kumla
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What was the result of Kumla vs Stenungsund?
Kumla won 3-1 on June 11, 2016.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Kumla have 5 wins, 1 draws and 4 defeats; Stenungsund have 5, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 8, 2016 | Grebbestad(home) | 4-1 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2016 | Grebbestad(home) | 2-0 | Division 2 - Norra Götaland |
| May 28, 2016 | Gauthiod(away) | 0-0 | Division 2 - Norra Götaland |
| May 21, 2016 | Skövde AIK(home) | 3-3 | Division 2 - Norra Götaland |
| May 13, 2016 | Gunnilse(away) | 2-0 | Division 2 - Norra Götaland |
| May 8, 2016 | Lidköping(home) | 2-1 | Division 2 - Norra Götaland |
How many goals should we expect?
Kumla score 1.5 and concede 2.5 goals per match over their last 10; Stenungsund score 1.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kumla | 1.5 | 2.5 | 3 | 4/10 | 7/10 |
| Stenungsund | 1.6 | 1.1 | 4 | 4/10 | 4/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Kumla sit 7th in Division 2 - Norra Götaland (17 points from 13 matches) and Stenungsund sit 6th (18 points from 13 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Stenungsund | 13 | 5 | 3 | 5 | 24 | 21 | 18 |
| 7 | Stenungsund | 18 | 7 | 5 | 6 | 34 | 25 | 26 |
| 7 | Kumla | 13 | 4 | 5 | 4 | 14 | 14 | 17 |
| 9 | Kumla | 18 | 5 | 5 | 8 | 19 | 30 | 20 |
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