Skive vs Naestved: result 3-1 and analysis
1. DivisionRegular Season - 1Kick-off on July 28, 2019 at 01:00 PM (UTC)Hancock Arena, Skive
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What was the result of Skive vs Naestved?
Skive won 3-1 on July 28, 2019.
Goalscorers
- 34′Christoffer Østergaard ChristensenSkive
- 64′RafaelsonNaestved
- 70′S. DeniusSkive
- 83′M. JespersenSkive (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skive have 11 wins, 2 draws and 2 defeats; Naestved have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Brabrand(home) | 1-1 | 2. Division |
| Apr 6, 2019 | Aarhus Fremad(away) | 3-1 | 2. Division |
| Mar 29, 2019 | Kolding IF(away) | 5-3 | 2. Division |
| Mar 23, 2019 | Dalum(home) | 2-1 | 2. Division |
| Mar 15, 2019 | Kjellerup(away) | 7-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2019 | Thisted FC(home) | 1-1 | 1. Division |
| May 19, 2019 | Lyngby(away) | 0-2 | 1. Division |
| May 12, 2019 | FC Helsingor(away) | 1-1 | 1. Division |
| May 8, 2019 | Roskilde(home) | 4-1 | 1. Division |
| May 5, 2019 | Hvidovre(away) | 1-3 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 5 Skive win(s), 0 draw(s), 1 Naestved win(s).
| Date | Score | Competition |
|---|---|---|
| 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 |
| Sep 27, 2015 | Naestved 0-1 Skive | 1. Division |
How many goals should we expect?
Skive score 2.5 and concede 1.1 goals per match over their last 15; Naestved score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skive | 2.5 | 1.1 | 3 | 11/15 | 10/15 |
| Naestved | 1.3 | 1.2 | 4 | 10/15 | 7/15 |
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