LSF vs Søllerød-Vedbæk: result 2-3 and analysis
Denmark Series - Group 1Regular Season - 5Kick-off on September 5, 2015 at 12:00 PM (UTC)Ledøje Idrætscenter, Smørum
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What was the result of LSF vs Søllerød-Vedbæk?
Søllerød-Vedbæk won 2-3 on September 5, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, LSF have 7 wins, 6 draws and 2 defeats; Søllerød-Vedbæk have 6, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2015 | Lyngby(home) | 0-5 | DBU Pokalen |
| Aug 29, 2015 | Hillerød(away) | 2-2 | Denmark Series - Group 1 |
| Aug 22, 2015 | Jægersborg(home) | 3-0 | Denmark Series - Group 1 |
| Aug 14, 2015 | Virum-Sorgenfri(away) | 1-0 | Denmark Series - Group 1 |
| Aug 11, 2015 | Frem(home) | 2-2 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2015 | Rishøj(away) | 0-2 | DBU Pokalen |
| Aug 29, 2015 | GVI(away) | 2-3 | Denmark Series - Group 1 |
| Aug 22, 2015 | Hillerød(home) | 1-2 | Denmark Series - Group 1 |
| Aug 15, 2015 | Jægersborg(away) | 2-0 | Denmark Series - Group 1 |
| Aug 11, 2015 | B 1973 Herlev(away) | 3-0 | DBU Pokalen |
How many goals should we expect?
LSF score 2.2 and concede 1.3 goals per match over their last 15; Søllerød-Vedbæk score 1.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| LSF | 2.2 | 1.3 | 4 | 10/15 | 11/15 |
| Søllerød-Vedbæk | 1.9 | 1.2 | 5 | 4/12 | 7/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | LSF | 18 | 7 | 1 | 10 | 32 | 32 | 22 |
A question about LSF vs Søllerød-Vedbæk?
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