Sønderborg vs Esbjerg II: result 1-2 and analysis
Denmark Series - Group 3Regular Season - 7Kick-off on September 17, 2016 at 12:00 PM (UTC)Sønderborg Stadion, Sønderborg
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What was the result of Sønderborg vs Esbjerg II?
Esbjerg II won 1-2 on September 17, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sønderborg have 3 wins, 4 draws and 8 defeats; Esbjerg II have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Ringkøbing(home) | 0-2 | Denmark Series - Group 3 |
| Sep 3, 2016 | Tarup-Paarup(away) | 1-4 | Denmark Series - Group 3 |
| Aug 27, 2016 | Varde(home) | 1-6 | Denmark Series - Group 3 |
| Aug 19, 2016 | Kolding B(away) | 1-2 | Denmark Series - Group 3 |
| Aug 13, 2016 | B 1913(home) | 0-1 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Tarup-Paarup(home) | 3-2 | Denmark Series - Group 3 |
| Sep 3, 2016 | Varde(away) | 0-0 | Denmark Series - Group 3 |
| 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 |
How many goals should we expect?
Sønderborg score 1.4 and concede 2.1 goals per match over their last 15; Esbjerg II score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sønderborg | 1.4 | 2.1 | 1 | 10/15 | 10/15 |
| Esbjerg II | 1.3 | 1.7 | 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 Sønderborg 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