Roskilde vs HB Koge: result 0-1 and analysis
1. DivisionRegular Season - 18Kick-off on March 25, 2015 at 06:00 PM (UTC)Roskilde Idrætspark, Roskilde
Full time
What was the result of Roskilde vs HB Koge?
HB Koge won 0-1 on March 25, 2015.
Goalscorers
- 53′Bruno Anderson da Silva SabinoHB Koge
What is the recent form of both teams?
Over their last 15 matches in all competitions, Roskilde have 5 wins, 3 draws and 7 defeats; HB Koge have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 22, 2015 | FC Fredericia(away) | 3-0 | 1. Division |
| Mar 15, 2015 | AC Horsens(away) | 2-1 | 1. Division |
| Nov 14, 2014 | Skive(away) | 0-1 | 1. Division |
| Nov 9, 2014 | AB Copenhagen(home) | 2-4 | 1. Division |
| Nov 2, 2014 | Lyngby(away) | 0-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 22, 2015 | Vendsyssel FF(away) | 0-0 | 1. Division |
| Mar 15, 2015 | FC Fredericia(home) | 0-0 | 1. Division |
| Nov 30, 2014 | AC Horsens(away) | 2-1 | 1. Division |
| Nov 16, 2014 | Vestsjælland(home) | 0-3 | DBU Pokalen |
| Nov 9, 2014 | Skive(home) | 1-0 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Roskilde win(s), 1 draw(s), 0 HB Koge win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 22, 2014 | Roskilde 1-1 HB Koge | 1. Division |
How many goals should we expect?
Roskilde score 1.3 and concede 1.3 goals per match over their last 15; HB Koge score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Roskilde | 1.3 | 1.3 | 4 | 7/15 | 7/15 |
| HB Koge | 0.7 | 1.3 | 6 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | HB Koge | 5 | 0 | 1 | 4 | 3 | 12 | 1 |
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