Fremad Amager vs Skive: result 3-0 and analysis
1. DivisionRegular Season - 15Kick-off on October 30, 2016 at 12:45 PM (UTC)Sundby Idrætspark, København
Full time
What was the result of Fremad Amager vs Skive?
Fremad Amager won 3-0 on October 30, 2016.
Goalscorers
- 32′Cem VardarFremad Amager
- 38′Olcay SenogluFremad Amager
- 59′Cem VardarFremad Amager
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fremad Amager have 6 wins, 5 draws and 4 defeats; Skive have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2016 | FC Midtjylland(home) | 1-3 | DBU Pokalen |
| Oct 23, 2016 | Nykobing FC(home) | 1-0 | 1. Division |
| Oct 16, 2016 | FC Helsingor(away) | 2-2 | 1. Division |
| Oct 2, 2016 | AB Copenhagen(home) | 1-3 | 1. Division |
| Sep 28, 2016 | Nykobing FC(away) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2016 | Roskilde(home) | 1-2 | 1. Division |
| Oct 16, 2016 | HB Koge(away) | 0-3 | 1. Division |
| Oct 12, 2016 | Silkeborg(home) | 1-3 | DBU Pokalen |
| Oct 9, 2016 | FC Fredericia(home) | 2-0 | 1. Division |
| Oct 2, 2016 | Vendsyssel FF(away) | 0-1 | 1. Division |
What does the head-to-head say?
In the last meeting: 1 Fremad Amager win, 0 draws, 0 Skive wins.
| Date | Score | Competition |
|---|---|---|
| Aug 28, 2016 | Fremad Amager 5-0 Skive | 1. Division |
Last archived meeting: Fremad Amager vs Skive on Aug 28, 2016
How many goals should we expect?
Fremad Amager score 1.5 and concede 1.1 goals per match over their last 15; Skive score 1.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fremad Amager | 1.5 | 1.1 | 5 | 8/15 | 6/15 |
| Skive | 1.6 | 1.7 | 5 | 6/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Fremad Amager vs Skive?
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