KFUM Roskilde vs Herlev: result 2-4 and analysis
Denmark Series - Group 1Regular Season - 4Kick-off on August 27, 2016 at 11:30 AM (UTC)Lillevang Idrætscenter, Roskilde
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What was the result of KFUM Roskilde vs Herlev?
Herlev won 2-4 on August 27, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KFUM Roskilde have 11 wins, 3 draws and 1 defeat; Herlev have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2016 | Vanløse(away) | 1-5 | Denmark Series - Group 1 |
| Aug 13, 2016 | Jægersborg(home) | 3-2 | Denmark Series - Group 1 |
| Aug 9, 2016 | Jyderup(away) | 7-1 | DBU Pokalen |
| Aug 6, 2016 | Hillerød(away) | 3-1 | Denmark Series - Group 1 |
| Jun 11, 2016 | Varde IF Elite(away) | 3-1 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2016 | Kastrup(home) | 3-1 | Denmark Series - Group 1 |
| Aug 12, 2016 | Taastrup(home) | 0-0 | Denmark Series - Group 1 |
| Aug 10, 2016 | Hvidovre(home) | 2-3 | DBU Pokalen |
| Aug 6, 2016 | Vanløse(away) | 2-0 | Denmark Series - Group 1 |
| Jun 11, 2016 | Søllerød-Vedbæk(home) | 3-0 | Denmark Series - Group 1 |
How many goals should we expect?
KFUM Roskilde score 3.9 and concede 1.7 goals per match over their last 15; Herlev score 1.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KFUM Roskilde | 3.9 | 1.7 | 2 | 13/15 | 15/15 |
| Herlev | 1.2 | 0.9 | 7 | 5/15 | 6/15 |
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 KFUM Roskilde vs Herlev?
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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