Fremad Amager vs Roskilde: result 1-3 and analysis
1. DivisionRegular Season - 17Kick-off on November 13, 2016 at 12:45 PM (UTC)Sundby Idrætspark, København
Full time
What was the result of Fremad Amager vs Roskilde?
Roskilde won 1-3 on November 13, 2016.
Goalscorers
- 17′E. NielsenRoskilde
- 24′N. MortensenFremad Amager
- 53′J. BechRoskilde
- 59′Morten NielsenRoskilde
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fremad Amager have 7 wins, 4 draws and 4 defeats; Roskilde have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2016 | AB Copenhagen(away) | 2-1 | 1. Division |
| Nov 2, 2016 | Vejle(away) | 0-4 | 1. Division |
| Oct 30, 2016 | Skive(home) | 3-0 | 1. Division |
| Oct 27, 2016 | FC Midtjylland(home) | 1-3 | DBU Pokalen |
| Oct 23, 2016 | Nykobing FC(home) | 1-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2016 | HB Koge(home) | 1-1 | 1. Division |
| Oct 30, 2016 | FC Fredericia(away) | 0-2 | 1. Division |
| Oct 26, 2016 | FC Fredericia(home) | 2-1 | DBU Pokalen |
| Oct 23, 2016 | Skive(away) | 2-1 | 1. Division |
| Oct 13, 2016 | Vejle(home) | 2-1 | 1. Division |
What does the head-to-head say?
In the last meeting: 0 Fremad Amager wins, 0 draws, 1 Roskilde win.
| Date | Score | Competition |
|---|---|---|
| Sep 11, 2016 | Roskilde 1-0 Fremad Amager | 1. Division |
Last archived meeting: Roskilde vs Fremad Amager on Sep 11, 2016
How many goals should we expect?
Fremad Amager score 1.7 and concede 1.2 goals per match over their last 15; Roskilde score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fremad Amager | 1.7 | 1.2 | 5 | 8/15 | 8/15 |
| Roskilde | 1.3 | 1.3 | 3 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Fremad Amager vs Roskilde?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy