Greve vs Kolding IF: result 1-3 and analysis
2nd Division - Group 2Regular Season - 11Kick-off on October 16, 2016 at 11:00 AM (UTC)Greve Idræts Center, Greve
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What was the result of Greve vs Kolding IF?
Kolding IF won 1-3 on October 16, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Greve have 7 wins, 5 draws and 3 defeats; Kolding IF have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2016 | Middelfart(away) | 1-3 | 2nd Division - Group 2 |
| Oct 2, 2016 | Svendborg(home) | 1-1 | 2nd Division - Group 2 |
| Sep 25, 2016 | Næsby(home) | 0-0 | 2nd Division - Group 2 |
| Sep 17, 2016 | Dalum(away) | 1-0 | 2nd Division - Group 2 |
| Sep 10, 2016 | Kolding IF(away) | 1-1 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2016 | Sydvest(home) | 3-4 | 2nd Division - Group 2 |
| Oct 1, 2016 | Marienlyst(away) | 2-1 | 2nd Division - Group 2 |
| Sep 23, 2016 | Dalum(home) | 0-1 | 2nd Division - Group 2 |
| Sep 17, 2016 | Næsby(away) | 3-1 | 2nd Division - Group 2 |
| Sep 10, 2016 | Greve(home) | 1-1 | 2nd Division - Group 2 |
What does the head-to-head say?
Across the last 3 meetings: 0 Greve win(s), 2 draw(s), 1 Kolding IF win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2016 | Kolding IF 1-1 Greve | 2nd Division - Group 2 |
| May 4, 2014 | Greve 0-2 Kolding IF | Denmark Series - Group 2 |
| Sep 21, 2013 | Kolding IF 1-1 Greve | Denmark Series - Group 2 |
How many goals should we expect?
Greve score 1.7 and concede 1.1 goals per match over their last 15; Kolding IF score 2.8 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Greve | 1.7 | 1.1 | 6 | 9/15 | 7/15 |
| Kolding IF | 2.8 | 1.8 | 1 | 13/15 | 13/15 |
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