Fredericia FF vs Kolding B: result 1-2 and analysis
Denmark Series - Group 3Regular Season - 14Kick-off on November 5, 2016 at 12:30 PM (UTC)Madsby Enge, Fredericia
Full time
What was the result of Fredericia FF vs Kolding B?
Kolding B won 1-2 on November 5, 2016.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Fredericia FF have 3 wins, 2 draws and 8 defeats; Kolding B have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2016 | B 1913(away) | 3-1 | Denmark Series - Group 3 |
| Oct 22, 2016 | SfB-Oure(home) | 0-4 | Denmark Series - Group 3 |
| Oct 16, 2016 | Højfyn(away) | 1-2 | Denmark Series - Group 3 |
| Oct 8, 2016 | Ringkøbing(home) | 2-1 | Denmark Series - Group 3 |
| Oct 1, 2016 | Esbjerg II(away) | 2-2 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2016 | Esbjerg II(home) | 0-0 | Denmark Series - Group 3 |
| Oct 22, 2016 | Sønderborg(away) | 2-0 | Denmark Series - Group 3 |
| Oct 15, 2016 | Tarup-Paarup(home) | 1-3 | Denmark Series - Group 3 |
| Oct 8, 2016 | Varde(away) | 2-0 | Denmark Series - Group 3 |
| Oct 1, 2016 | Ringkøbing(home) | 0-3 | Denmark Series - Group 3 |
What does the head-to-head say?
Across the last 1 meetings: 0 Fredericia FF win(s), 0 draw(s), 1 Kolding B win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 2, 2016 | Kolding B 5-1 Fredericia FF | Denmark Series - Group 3 |
Last archived meeting: Kolding B vs Fredericia FF on Sep 2, 2016
How many goals should we expect?
Fredericia FF score 1.2 and concede 2.4 goals per match over their last 13; Kolding B score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fredericia FF | 1.2 | 2.4 | 0 | 9/13 | 11/13 |
| Kolding B | 1.5 | 1.3 | 5 | 7/15 | 10/15 |
Over the last 13 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