Varde vs Esbjerg II: result 0-0 and analysis
Denmark Series - Group 3Regular Season - 5Kick-off on September 3, 2016 at 01:00 PM (UTC)Sydbank Stadion, Varde
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What was the result of Varde vs Esbjerg II?
Varde and Esbjerg II drew 0-0 on September 3, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Varde have 6 wins, 4 draws and 5 defeats; Esbjerg II have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2016 | Sønderborg(away) | 6-1 | Denmark Series - Group 3 |
| Aug 20, 2016 | Tarup-Paarup(home) | 1-1 | Denmark Series - Group 3 |
| Aug 13, 2016 | Ringkøbing(home) | 0-5 | Denmark Series - Group 3 |
| Aug 5, 2016 | Kolding B(away) | 0-3 | Denmark Series - Group 3 |
| Aug 12, 2015 | Sønderborg(away) | 1-4 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2016 | B 1913(away) | 0-2 | Denmark Series - Group 3 |
| Aug 13, 2016 | SfB-Oure(home) | 3-1 | Denmark Series - Group 3 |
| Aug 6, 2016 | Højfyn(away) | 1-1 | Denmark Series - Group 3 |
| Jun 23, 2012 | Hobro II(home) | 0-2 | Denmark Series - Group 3 |
| Jun 16, 2012 | Tjørring(away) | 4-1 | Denmark Series - Group 3 |
How many goals should we expect?
Varde score 1.9 and concede 1.6 goals per match over their last 15; Esbjerg II score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Varde | 1.9 | 1.6 | 6 | 7/15 | 9/15 |
| Esbjerg II | 1.3 | 1.9 | 1 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Esbjerg II | 18 | 13 | 1 | 4 | 61 | 26 | 40 |
A question about Varde vs Esbjerg II?
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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