Skive vs Naestved: result 2-1 and analysis
1. DivisionRegular Season - 9Kick-off on September 18, 2016 at 11:45 AM (UTC)Hancock Arena, Skive
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What was the result of Skive vs Naestved?
Skive won 2-1 on September 18, 2016.
Goalscorers
- 32′M. BersangSkive
- 74′M. JensenNaestved
- 81′81105Skive
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skive have 5 wins, 2 draws and 8 defeats; Naestved have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2016 | AB Copenhagen(away) | 3-1 | 1. Division |
| Aug 31, 2016 | B 1909(away) | 6-0 | DBU Pokalen |
| Aug 28, 2016 | Fremad Amager(away) | 0-5 | 1. Division |
| Aug 18, 2016 | Hobro(home) | 1-4 | 1. Division |
| Aug 14, 2016 | Nykobing FC(away) | 0-4 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2016 | Vendsyssel FF(home) | 1-3 | 1. Division |
| Sep 5, 2016 | Nykobing FC(away) | 4-4 | DBU Pokalen |
| Sep 1, 2016 | HB Koge(away) | 2-2 | 1. Division |
| Aug 28, 2016 | FC Helsingor(away) | 2-1 | 1. Division |
| Aug 21, 2016 | Vejle(home) | 0-3 | 1. Division |
What does the head-to-head say?
Across the last 5 meetings: 3 Skive wins, 1 draw, 1 Naestved win.
| Date | Score | Competition |
|---|---|---|
| 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 |
| Oct 23, 2011 | Skive 1-0 Naestved | 1. Division |
How many goals should we expect?
Skive score 1.9 and concede 2.1 goals per match over their last 15; Naestved score 2.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skive | 1.9 | 2.1 | 4 | 8/15 | 12/15 |
| Naestved | 2.0 | 1.5 | 4 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Skive vs Naestved?
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