Kortedala vs Gunnilse: result 2-2 and analysis
Division 2 - Norra GötalandRegular Season - 18Kick-off on August 19, 2016 at 04:30 PM (UTC)Kortedalavallen 1 Gräs, Göteborg
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What was the result of Kortedala vs Gunnilse?
Kortedala and Gunnilse drew 2-2 on August 19, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kortedala have 4 wins, 1 draws and 10 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 |
|---|---|---|---|
| Aug 14, 2016 | Lidköping(away) | 0-2 | Division 2 - Norra Götaland |
| Aug 6, 2016 | Uddevalla(home) | 2-5 | Division 2 - Norra Götaland |
| Jul 30, 2016 | Skoftebyn(home) | 1-4 | Division 2 - Norra Götaland |
| Jul 23, 2016 | Örebro Syrianska(away) | 3-4 | Division 2 - Norra Götaland |
| Jun 23, 2016 | Stenungsund(home) | 1-0 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2016 | Vänersborgs IF(home) | 2-2 | Division 2 - Norra Götaland |
| Aug 6, 2016 | Kumla(away) | 0-2 | Division 2 - Norra Götaland |
| 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 |
What does the head-to-head say?
Across the last 1 meetings: 1 Kortedala win(s), 0 draw(s), 0 Gunnilse win(s).
| Date | Score | Competition |
|---|---|---|
| May 4, 2016 | Gunnilse 1-5 Kortedala | Division 2 - Norra Götaland |
How many goals should we expect?
Kortedala score 1.3 and concede 2.5 goals per match over their last 15; Gunnilse score 1.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kortedala | 1.3 | 2.5 | 2 | 9/15 | 10/15 |
| Gunnilse | 1.5 | 2.0 | 1 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
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