Esbjerg II vs Fredericia FF: result 2-2 and analysis
Denmark Series - Group 3Regular Season - 9Kick-off on October 1, 2016 at 12:00 PM (UTC)Esbjerg Atletikstadion, Esbjerg
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What was the result of Esbjerg II vs Fredericia FF?
Esbjerg II and Fredericia FF drew 2-2 on October 1, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Esbjerg II have 4 wins, 3 draws and 8 defeats; Fredericia FF have 1, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2016 | Ringkøbing(away) | 0-5 | Denmark Series - Group 3 |
| Sep 17, 2016 | Sønderborg(away) | 2-1 | Denmark Series - Group 3 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2016 | Sønderborg(home) | 0-2 | Denmark Series - Group 3 |
| Sep 17, 2016 | Tarup-Paarup(away) | 0-4 | Denmark Series - Group 3 |
| Sep 10, 2016 | Varde(home) | 1-4 | Denmark Series - Group 3 |
| Sep 2, 2016 | Kolding B(away) | 1-5 | Denmark Series - Group 3 |
| Aug 26, 2016 | B 1913(home) | 1-2 | Denmark Series - Group 3 |
How many goals should we expect?
Esbjerg II score 1.2 and concede 1.9 goals per match over their last 15; Fredericia FF score 0.9 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Esbjerg II | 1.2 | 1.9 | 1 | 8/15 | 8/15 |
| Fredericia FF | 0.9 | 2.6 | 0 | 5/8 | 6/8 |
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 Esbjerg II vs Fredericia FF?
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