Kumla vs Gunnilse: result 2-0 and analysis
Division 2 - Norra GötalandRegular Season - 16Kick-off on August 6, 2016 at 02:00 PM (UTC)Kumla IP, Kumla
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What was the result of Kumla vs Gunnilse?
Kumla won 2-0 on August 6, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kumla have 7 wins, 2 draws and 6 defeats; Gunnilse have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2016 | Uddevalla(home) | 1-3 | Division 2 - Norra Götaland |
| Jun 29, 2016 | Lidköping(away) | 3-0 | Division 2 - Norra Götaland |
| Jun 25, 2016 | Örebro Syrianska(home) | 0-0 | Division 2 - Norra Götaland |
| Jun 18, 2016 | Skoftebyn(away) | 1-2 | Division 2 - Norra Götaland |
| Jun 11, 2016 | Stenungsund(home) | 3-1 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2016 | Gauthiod(away) | 5-0 | Division 2 - Norra Götaland |
| Jun 29, 2016 | Grebbestad(home) | 1-2 | Division 2 - Norra Götaland |
| Jun 22, 2016 | Skövde AIK(away) | 1-5 | Division 2 - Norra Götaland |
| Jun 18, 2016 | Rynninge(away) | 2-1 | Division 2 - Norra Götaland |
| Jun 10, 2016 | Lidköping(home) | 1-1 | Division 2 - Norra Götaland |
What does the head-to-head say?
Across the last 1 meetings: 1 Kumla win(s), 0 draw(s), 0 Gunnilse win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 23, 2016 | Gunnilse 0-1 Kumla | Division 2 - Norra Götaland |
How many goals should we expect?
Kumla score 1.5 and concede 2.1 goals per match over their last 15; Gunnilse score 1.6 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kumla | 1.5 | 2.1 | 5 | 7/15 | 11/15 |
| Gunnilse | 1.6 | 2.2 | 1 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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