Skive vs Naestved: result 2-4 and analysis
1. DivisionRegular Season - 28Kick-off on May 1, 2016 at 11:45 AM (UTC)Hancock Arena, Skive
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What was the result of Skive vs Naestved?
Naestved won 2-4 on May 1, 2016.
Goalscorers
- 51′S. HansenNaestved
- 57′A. LawalSkive
- 60′J. IllumNaestved (pen.)
- 61′Kristoffer MunksgaardNaestved
- 72′J. IllumNaestved (pen.)
- 81′J. HenriksenSkive
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skive have 5 wins, 4 draws and 6 defeats; Naestved have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2016 | HB Koge(away) | 1-1 | 1. Division |
| Apr 17, 2016 | Vendsyssel FF(home) | 2-1 | 1. Division |
| Apr 10, 2016 | Vestsjælland(home) | 3-0 | 1. Division |
| Apr 3, 2016 | FC Fredericia(away) | 0-0 | 1. Division |
| Mar 28, 2016 | Vejle(home) | 0-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2016 | Silkeborg(away) | 0-3 | 1. Division |
| Apr 17, 2016 | Lyngby(home) | 0-2 | 1. Division |
| Apr 10, 2016 | Roskilde(away) | 2-3 | 1. Division |
| Apr 3, 2016 | FC Helsingor(home) | 1-0 | 1. Division |
| Mar 28, 2016 | HB Koge(away) | 0-2 | 1. Division |
What does the head-to-head say?
Across the last 4 meetings: 3 Skive win(s), 1 draw(s), 0 Naestved win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 24, 2016 | Naestved 1-3 Skive | 1. Division |
| Sep 27, 2015 | Naestved 0-1 Skive | 1. Division |
| Jun 2, 2012 | Naestved 2-2 Skive | 1. Division |
| Oct 23, 2011 | Skive 1-0 Naestved | 1. Division |
How many goals should we expect?
Skive score 1.1 and concede 1.2 goals per match over their last 15; Naestved score 1.0 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skive | 1.1 | 1.2 | 3 | 7/15 | 7/15 |
| Naestved | 1.0 | 1.8 | 2 | 8/15 | 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