Silkeborg vs Naestved: result 3-1 and analysis
1. DivisionRegular Season - 6Kick-off on August 26, 2018 at 11:45 AM (UTC)JYSK park, Silkeborg
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What was the result of Silkeborg vs Naestved?
Silkeborg won 3-1 on August 26, 2018.
Goalscorers
- 9′F. JustinussenNaestved
- 19′S. JørgensenSilkeborg
- 24′D. FlintaSilkeborg
- 66′Shkodran MaholliSilkeborg
What is the recent form of both teams?
Over their last 15 matches in all competitions, Silkeborg have 5 wins, 2 draws and 8 defeats; Naestved have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2018 | Viborg(home) | 2-3 | 1. Division |
| Aug 19, 2018 | Roskilde(away) | 1-0 | 1. Division |
| Aug 12, 2018 | HB Koge(home) | 0-3 | 1. Division |
| Aug 8, 2018 | Holstebro(away) | 4-0 | DBU Pokalen |
| Aug 5, 2018 | Lyngby(away) | 0-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2018 | HB Koge(home) | 1-0 | 1. Division |
| Aug 19, 2018 | Hvidovre(away) | 1-2 | 1. Division |
| Aug 12, 2018 | Thisted FC(home) | 1-1 | 1. Division |
| Aug 8, 2018 | Karlslunde(away) | 3-0 | DBU Pokalen |
| Aug 5, 2018 | FC Helsingor(away) | 1-1 | 1. Division |
What does the head-to-head say?
Across the last 3 meetings: 2 Silkeborg win(s), 1 draw(s), 0 Naestved win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 24, 2016 | Silkeborg 3-0 Naestved | 1. Division |
| Nov 15, 2015 | Naestved 1-3 Silkeborg | 1. Division |
| Oct 5, 2015 | Silkeborg 1-1 Naestved | 1. Division |
Last archived meeting: Silkeborg vs Naestved on Apr 24, 2016
How many goals should we expect?
Silkeborg score 1.3 and concede 1.5 goals per match over their last 15; Naestved score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silkeborg | 1.3 | 1.5 | 6 | 6/15 | 8/15 |
| Naestved | 1.5 | 1.3 | 4 | 11/15 | 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