Skive vs Naestved: result 2-0 and analysis
1. DivisionRegular Season - 27Kick-off on June 27, 2020 at 02:00 PM (UTC)Hancock Arena, Skive
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What was the result of Skive vs Naestved?
Skive won 2-0 on June 27, 2020.
Goalscorers
- 52′T. SantosSkive
- 69′N. DohnSkive
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skive have 6 wins, 3 draws and 6 defeats; Naestved have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 24, 2020 | Viborg(home) | 0-1 | 1. Division |
| Jun 20, 2020 | Fremad Amager(away) | 0-0 | 1. Division |
| Jun 12, 2020 | Nykobing FC(home) | 3-2 | 1. Division |
| Jun 9, 2020 | Vejle(away) | 2-1 | 1. Division |
| Jun 5, 2020 | Vendsyssel FF(home) | 1-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 24, 2020 | Vejle(home) | 1-1 | 1. Division |
| Jun 21, 2020 | Nykobing FC(away) | 1-2 | 1. Division |
| Jun 13, 2020 | Vendsyssel FF(home) | 0-0 | 1. Division |
| Jun 10, 2020 | Fremad Amager(away) | 0-1 | 1. Division |
| Jun 7, 2020 | HB Koge(home) | 2-1 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 4 Skive win(s), 0 draw(s), 2 Naestved win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2019 | Naestved 1-0 Skive | 1. Division |
| 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 |
How many goals should we expect?
Skive score 1.1 and concede 1.3 goals per match over their last 15; Naestved score 0.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skive | 1.1 | 1.3 | 4 | 8/15 | 7/15 |
| Naestved | 0.7 | 1.2 | 4 | 8/15 | 5/15 |
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