HB Koge vs Viborg: result 2-1 and analysis
DBU Pokalen3rd RoundKick-off on November 2, 2016 at 06:00 PM (UTC)Capelli Sport Stadion, Køge
Full time
What was the result of HB Koge vs Viborg?
HB Koge won 2-1 on November 2, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, HB Koge have 6 wins, 6 draws and 3 defeats; Viborg have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2016 | Vejle(home) | 0-3 | 1. Division |
| Oct 23, 2016 | AB Copenhagen(away) | 1-2 | 1. Division |
| Oct 16, 2016 | Skive(home) | 3-0 | 1. Division |
| Oct 10, 2016 | Naestved(away) | 1-1 | 1. Division |
| Sep 29, 2016 | FC Helsingor(home) | 0-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2016 | FC Nordsjaelland(away) | 3-4 | Superliga |
| Oct 21, 2016 | Silkeborg(home) | 1-3 | Superliga |
| Oct 14, 2016 | Sonderjyske(away) | 0-1 | Superliga |
| Oct 2, 2016 | FC Copenhagen(home) | 0-0 | Superliga |
| Sep 25, 2016 | Lyngby(home) | 0-1 | Superliga |
What does the head-to-head say?
Across the last 6 meetings: 1 HB Koge win(s), 1 draw(s), 4 Viborg win(s).
| Date | Score | Competition |
|---|---|---|
| May 8, 2015 | HB Koge 0-1 Viborg | 1. Division |
| Apr 2, 2015 | Viborg 2-0 HB Koge | 1. Division |
| Aug 3, 2014 | HB Koge 2-3 Viborg | 1. Division |
| May 17, 2013 | HB Koge 2-1 Viborg | 1. Division |
| Nov 23, 2012 | Viborg 0-0 HB Koge | 1. Division |
| Sep 9, 2012 | Viborg 5-0 HB Koge | 1. Division |
How many goals should we expect?
HB Koge score 1.4 and concede 0.8 goals per match over their last 15; Viborg score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| HB Koge | 1.4 | 0.8 | 8 | 6/15 | 7/15 |
| Viborg | 1.2 | 1.3 | 4 | 7/15 | 7/15 |
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