Skovshoved vs Fremad Valby: result 3-0 and analysis
Denmark Series - Group 2Matchday 1Kick-off on August 6, 2016 at 01:00 PM (UTC)Skovshoved IP, Klampenborg
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What was the result of Skovshoved vs Fremad Valby?
Skovshoved won 3-0 on August 6, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skovshoved have 4 wins, 4 draws and 7 defeats; Fremad Valby have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2014 | Hvidovre(home) | 0-1 | DBU Pokalen |
| Jun 15, 2013 | Skjold Sæby(home) | 0-2 | Denmark Series - Group 1 |
| Jun 8, 2013 | Virum-Sorgenfri(away) | 2-3 | Denmark Series - Group 1 |
| Jun 5, 2013 | Avedøre(away) | 1-2 | Denmark Series - Group 1 |
| Jun 1, 2013 | FA 2000(away) | 0-0 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2015 | Hvidovre(home) | 6-7 | DBU Pokalen |
| Aug 11, 2015 | Virum-Sorgenfri(home) | 8-2 | DBU Pokalen |
| Jun 20, 2015 | B 1903(away) | 1-0 | Denmark Series - Group 1 |
| Jun 13, 2015 | Taastrup(home) | 1-2 | Denmark Series - Group 1 |
| Jun 4, 2015 | BSF(home) | 2-2 | Denmark Series - Group 1 |
How many goals should we expect?
Skovshoved score 1.3 and concede 1.8 goals per match over their last 15; Fremad Valby score 1.9 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skovshoved | 1.3 | 1.8 | 2 | 10/15 | 10/15 |
| Fremad Valby | 1.9 | 2.6 | 1 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Skovshoved | 18 | 5 | 2 | 11 | 29 | 39 | 17 |
A question about Skovshoved vs Fremad Valby?
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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