Skovshoved vs Naestved: result 2-3 and analysis
2. DivisionRegular Season - 12Kick-off on October 21, 2017 at 01:00 PM (UTC)Skovshoved IP, Klampenborg
Full time
What was the result of Skovshoved vs Naestved?
Naestved won 2-3 on October 21, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skovshoved have 10 wins, 2 draws and 3 defeats; Naestved have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2017 | Frem(away) | 1-5 | 2. Division |
| Oct 7, 2017 | Hillerød(home) | 3-0 | 2. Division |
| Sep 29, 2017 | Hvidovre(away) | 2-3 | 2. Division |
| Sep 23, 2017 | Brønshøj(home) | 3-0 | 2. Division |
| Sep 16, 2017 | B 93(away) | 3-3 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2017 | B 93(home) | 2-0 | 2. Division |
| Oct 8, 2017 | Frem(home) | 1-0 | 2. Division |
| Sep 30, 2017 | Brønshøj(away) | 1-2 | 2. Division |
| Sep 24, 2017 | Hvidovre(home) | 1-2 | 2. Division |
| Sep 20, 2017 | HB Koge(home) | 1-3 | DBU Pokalen |
What does the head-to-head say?
In the last meeting: 1 Skovshoved win, 0 draws, 0 Naestved wins.
| Date | Score | Competition |
|---|---|---|
| Aug 6, 2017 | Naestved 1-3 Skovshoved | 2. Division |
Last archived meeting: Naestved vs Skovshoved on Aug 6, 2017
How many goals should we expect?
Skovshoved score 2.5 and concede 1.5 goals per match over their last 15; Naestved score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skovshoved | 2.5 | 1.5 | 5 | 10/15 | 12/15 |
| Naestved | 1.7 | 1.3 | 4 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Naestved | 11 | 3 | 7 | 1 | 15 | 13 | 16 |
A question about Skovshoved vs Naestved?
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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