HB Koge vs Silkeborg: result 1-3 and analysis
SuperligaRegular Season - 31Kick-off on May 13, 2012 at 02:00 PM (UTC)Capelli Sport Stadion, Køge
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What was the result of HB Koge vs Silkeborg?
Silkeborg won 1-3 on May 13, 2012.
Goalscorers
- 16′N. MadsenHB Koge
- 26′M. PouriéSilkeborg
- 46′K. RisgårdSilkeborg
- 82′S. JakobsenSilkeborg
What is the recent form of both teams?
Over their last 15 matches in all competitions, HB Koge have 3 wins, 4 draws and 8 defeats; Silkeborg have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2012 | Aarhus(home) | 1-3 | Superliga |
| May 3, 2012 | FC Midtjylland(away) | 1-2 | Superliga |
| Apr 29, 2012 | AC Horsens(home) | 2-1 | Superliga |
| Apr 22, 2012 | Sonderjyske(away) | 1-2 | Superliga |
| Apr 15, 2012 | FC Copenhagen(home) | 0-5 | Superliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2012 | AC Horsens(home) | 0-1 | Superliga |
| May 3, 2012 | Brondby(away) | 2-3 | Superliga |
| Apr 30, 2012 | Odense(home) | 1-1 | Superliga |
| Apr 22, 2012 | Lyngby(home) | 3-0 | Superliga |
| Apr 15, 2012 | FC Nordsjaelland(away) | 1-2 | Superliga |
What does the head-to-head say?
Across the last 2 meetings: 2 HB Koge win(s), 0 draw(s), 0 Silkeborg win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 11, 2012 | Silkeborg 0-1 HB Koge | Superliga |
| Aug 21, 2011 | HB Koge 3-0 Silkeborg | Superliga |
How many goals should we expect?
HB Koge score 1.2 and concede 2.0 goals per match over their last 15; Silkeborg score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| HB Koge | 1.2 | 2.0 | 1 | 12/15 | 10/15 |
| Silkeborg | 1.7 | 1.5 | 3 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Silkeborg | 5 | 1 | 1 | 3 | 4 | 8 | 4 |
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