Naestved vs HB Koge: result 1-3 and analysis
DBU Pokalen3rd RoundKick-off on September 20, 2017 at 02:30 PM (UTC)MTM Service Park, Næstved
Full time
What was the result of Naestved vs HB Koge?
HB Koge won 1-3 on September 20, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Naestved have 8 wins, 3 draws and 4 defeats; HB Koge have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2017 | AB Copenhagen(away) | 1-1 | 2. Division |
| Sep 10, 2017 | Hillerød(home) | 5-2 | 2. Division |
| Sep 2, 2017 | B 93(away) | 5-1 | 2. Division |
| Aug 30, 2017 | Brønshøj(away) | 2-0 | DBU Pokalen |
| Aug 27, 2017 | Brønshøj(home) | 2-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2017 | Viborg(home) | 3-0 | 1. Division |
| Sep 10, 2017 | Brabrand(away) | 3-1 | 1. Division |
| Sep 3, 2017 | Thisted FC(away) | 0-2 | 1. Division |
| Aug 30, 2017 | Nykobing FC(home) | 4-3 | DBU Pokalen |
| Aug 27, 2017 | Skive(home) | 0-0 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 1 Naestved win(s), 2 draw(s), 3 HB Koge win(s).
| Date | Score | Competition |
|---|---|---|
| May 14, 2017 | HB Koge 3-0 Naestved | 1. Division |
| Oct 10, 2016 | Naestved 1-1 HB Koge | 1. Division |
| Sep 1, 2016 | HB Koge 2-2 Naestved | 1. Division |
| Mar 28, 2016 | HB Koge 2-0 Naestved | 1. Division |
| Oct 18, 2015 | Naestved 1-0 HB Koge | 1. Division |
| Aug 16, 2015 | HB Koge 2-0 Naestved | 1. Division |
How many goals should we expect?
Naestved score 1.9 and concede 1.3 goals per match over their last 15; HB Koge score 2.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naestved | 1.9 | 1.3 | 5 | 7/15 | 9/15 |
| HB Koge | 2.1 | 1.0 | 7 | 7/15 | 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