Skive vs Naestved: result 2-1 and analysis
1. DivisionRegular Season - 23Kick-off on March 26, 2017 at 12:45 PM (UTC)Hancock Arena, Skive
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What was the result of Skive vs Naestved?
Skive won 2-1 on March 26, 2017.
Goalscorers
- 39′J. IllumNaestved
- 85′Christoffer Østergaard ChristensenSkive
- 90′M. JensenSkive
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skive have 8 wins, 1 draws and 6 defeats; Naestved have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2017 | Nykobing FC(away) | 3-2 | 1. Division |
| Mar 12, 2017 | AB Copenhagen(home) | 1-0 | 1. Division |
| Mar 5, 2017 | Vejle(away) | 2-0 | 1. Division |
| Dec 1, 2016 | Naestved(away) | 3-2 | 1. Division |
| Nov 24, 2016 | Hobro(away) | 1-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2017 | Fremad Amager(home) | 1-1 | 1. Division |
| Mar 12, 2017 | Roskilde(away) | 1-2 | 1. Division |
| Mar 8, 2017 | Roskilde(home) | 3-2 | DBU Pokalen |
| Mar 5, 2017 | FC Fredericia(away) | 1-2 | 1. Division |
| Dec 1, 2016 | Skive(home) | 2-3 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 4 Skive win(s), 1 draw(s), 1 Naestved win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 1, 2016 | Naestved 2-3 Skive | 1. Division |
| Sep 18, 2016 | Skive 2-1 Naestved | 1. Division |
| May 1, 2016 | Skive 2-4 Naestved | 1. Division |
| 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 |
How many goals should we expect?
Skive score 1.3 and concede 1.3 goals per match over their last 15; Naestved score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skive | 1.3 | 1.3 | 5 | 7/15 | 8/15 |
| Naestved | 1.5 | 1.7 | 2 | 12/15 | 10/15 |
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