Søllerød-Vedbæk vs Herlev: result 1-3 and analysis
Denmark Series - Group 1Regular Season - 12Kick-off on October 24, 2015 at 01:00 PM (UTC)Rundforbi Stadion, Nærum
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What was the result of Søllerød-Vedbæk vs Herlev?
Herlev won 1-3 on October 24, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Søllerød-Vedbæk have 5 wins, 5 draws and 5 defeats; Herlev have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2015 | Allerød(away) | 1-0 | Denmark Series - Group 1 |
| Oct 10, 2015 | Avedøre(home) | 1-1 | Denmark Series - Group 1 |
| Oct 3, 2015 | Fredensborg BI(away) | 1-1 | Denmark Series - Group 1 |
| Sep 26, 2015 | Kastrup(home) | 1-4 | Denmark Series - Group 1 |
| Sep 19, 2015 | Skjold Sæby(away) | 0-0 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2015 | Hillerød(home) | 7-4 | Denmark Series - Group 1 |
| Oct 10, 2015 | Jægersborg(away) | 3-0 | Denmark Series - Group 1 |
| Oct 3, 2015 | Virum-Sorgenfri(home) | 2-0 | Denmark Series - Group 1 |
| Sep 26, 2015 | Vanløse(away) | 1-1 | Denmark Series - Group 1 |
| Sep 19, 2015 | GVI(home) | 1-0 | Denmark Series - Group 1 |
How many goals should we expect?
Søllerød-Vedbæk score 1.6 and concede 1.4 goals per match over their last 15; Herlev score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Søllerød-Vedbæk | 1.6 | 1.4 | 5 | 8/15 | 8/15 |
| Herlev | 1.9 | 1.3 | 4 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Herlev | 18 | 6 | 4 | 8 | 25 | 31 | 22 |
A question about Søllerød-Vedbæk vs Herlev?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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