Fremad Amager vs Naestved: result 0-3 and analysis
1. DivisionRegular Season - 30Kick-off on May 11, 2017 at 04:00 PM (UTC)Sundby Idrætspark, København
Full time
What was the result of Fremad Amager vs Naestved?
Naestved won 0-3 on May 11, 2017.
Goalscorers
- 23′Kristoffer MunksgaardNaestved
- 27′J. IllumNaestved
- 33′S. HansenNaestved
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fremad Amager have 4 wins, 4 draws and 7 defeats; Naestved have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2017 | HB Koge(home) | 2-0 | 1. Division |
| Apr 30, 2017 | FC Fredericia(away) | 2-2 | 1. Division |
| Apr 23, 2017 | Vejle(home) | 2-3 | 1. Division |
| Apr 13, 2017 | Vendsyssel FF(home) | 1-2 | 1. Division |
| Apr 9, 2017 | Skive(away) | 1-4 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2017 | FC Fredericia(home) | 2-0 | 1. Division |
| Apr 30, 2017 | Vejle(home) | 3-3 | 1. Division |
| Apr 23, 2017 | Vendsyssel FF(away) | 1-1 | 1. Division |
| Apr 13, 2017 | Roskilde(home) | 1-2 | 1. Division |
| Apr 9, 2017 | AB Copenhagen(away) | 1-0 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Fremad Amager win(s), 1 draw(s), 0 Naestved win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 19, 2017 | Naestved 1-1 Fremad Amager | 1. Division |
| Sep 25, 2016 | Naestved 0-1 Fremad Amager | 1. Division |
Last archived meeting: Naestved vs Fremad Amager on Mar 19, 2017
How many goals should we expect?
Fremad Amager score 1.3 and concede 1.8 goals per match over their last 15; Naestved score 1.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fremad Amager | 1.3 | 1.8 | 4 | 9/15 | 11/15 |
| Naestved | 1.4 | 1.5 | 4 | 11/15 | 9/15 |
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