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 draw 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?
In the last meeting: 1 Kortedala win, 0 draws, 0 Gunnilse wins.
| 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.
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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