Skive vs Nykobing FC: result 2-3 and analysis
1. DivisionMatchday 32Kick-off on May 21, 2017 at 11:45 AM (UTC)Hancock Arena, Skive
Full time
What was the result of Skive vs Nykobing FC?
Nykobing FC won 2-3 on May 21, 2017.
Goalscorers
- 11′M. DahlNykobing FC
- 29′Joachim WagnerNykobing FC
- 33′Joachim WagnerNykobing FC
- 58′F. BrandhofSkive
- 62′Mathias PedersenSkive
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skive have 8 wins, 1 draw and 6 defeats; Nykobing FC have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2017 | Vejle(home) | 0-1 | 1. Division |
| May 11, 2017 | Vendsyssel FF(away) | 0-4 | 1. Division |
| May 7, 2017 | Hobro(home) | 0-1 | 1. Division |
| Apr 30, 2017 | FC Helsingor(away) | 0-0 | 1. Division |
| Apr 23, 2017 | HB Koge(home) | 2-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2017 | AB Copenhagen(away) | 2-2 | 1. Division |
| May 11, 2017 | Roskilde(home) | 3-2 | 1. Division |
| May 7, 2017 | FC Helsingor(home) | 3-1 | 1. Division |
| Apr 30, 2017 | HB Koge(away) | 1-2 | 1. Division |
| Apr 23, 2017 | FC Fredericia(home) | 2-2 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Skive win, 0 draws, 1 Nykobing FC win.
| Date | Score | Competition |
|---|---|---|
| Mar 19, 2017 | Nykobing FC 2-3 Skive | 1. Division |
| Aug 14, 2016 | Nykobing FC 4-0 Skive | 1. Division |
How many goals should we expect?
Skive score 1.5 and concede 1.4 goals per match over their last 15; Nykobing FC score 1.7 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skive | 1.5 | 1.4 | 3 | 8/15 | 9/15 |
| Nykobing FC | 1.7 | 1.8 | 3 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Skive vs Nykobing FC?
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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