Naestved vs Skive: result 1-0 and analysis
1. DivisionRegular Season - 14Kick-off on October 20, 2019 at 11:45 AM (UTC)MTM Service Park, Næstved
Full time
What was the result of Naestved vs Skive?
Naestved won 1-0 on October 20, 2019.
Goalscorers
- 23′Kristoffer MunksgaardNaestved
What is the recent form of both teams?
Over their last 15 matches in all competitions, Naestved have 4 wins, 3 draws and 8 defeats; Skive have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Vendsyssel FF(away) | 1-1 | 1. Division |
| Oct 5, 2019 | Hvidovre(away) | 1-3 | 1. Division |
| Sep 29, 2019 | Vejle(home) | 2-3 | 1. Division |
| Sep 15, 2019 | HB Koge(away) | 1-1 | 1. Division |
| Sep 8, 2019 | Roskilde(home) | 1-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2019 | Hvidovre(home) | 2-1 | 1. Division |
| Oct 6, 2019 | HB Koge(away) | 2-0 | 1. Division |
| Sep 28, 2019 | Nykobing FC(home) | 3-3 | 1. Division |
| Sep 25, 2019 | Brondby(home) | 2-3 | DBU Pokalen |
| Sep 22, 2019 | Kolding IF(away) | 2-4 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 1 Naestved win(s), 0 draw(s), 5 Skive win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 28, 2019 | Skive 3-1 Naestved | 1. Division |
| Mar 26, 2017 | Skive 2-1 Naestved | 1. Division |
| 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 |
How many goals should we expect?
Naestved score 1.1 and concede 1.9 goals per match over their last 15; Skive score 2.5 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naestved | 1.1 | 1.9 | 3 | 8/15 | 7/15 |
| Skive | 2.5 | 1.6 | 4 | 10/15 | 8/15 |
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