Vejle vs Fremad Amager: result 1-1 and analysis
1. DivisionRegular Season - 1Kick-off on July 24, 2016 at 11:45 AM (UTC)Vejle Stadion, Vejle
Full time
What was the result of Vejle vs Fremad Amager?
Vejle and Fremad Amager drew 1-1 on July 24, 2016.
Goalscorers
- 60′81160Vejle
- 76′C. Groth MøllerFremad Amager
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vejle have 7 wins, 2 draws and 6 defeats; Fremad Amager have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2016 | Silkeborg(away) | 0-5 | 1. Division |
| May 22, 2016 | Lyngby(home) | 3-4 | 1. Division |
| May 16, 2016 | Naestved(away) | 2-1 | 1. Division |
| May 11, 2016 | AC Horsens(away) | 1-0 | 1. Division |
| May 5, 2016 | FC Fredericia(home) | 0-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2015 | Svendborg(home) | 4-0 | 2nd Division - Group 2 |
| Oct 31, 2015 | Marienlyst(away) | 4-3 | 2nd Division - Group 2 |
| Oct 25, 2015 | Nykobing FC(home) | 2-1 | 2nd Division - Group 2 |
| Oct 17, 2015 | B 93(away) | 1-0 | 2nd Division - Group 2 |
| Oct 11, 2015 | Dalum(home) | 2-4 | 2nd Division - Group 2 |
How many goals should we expect?
Vejle score 1.7 and concede 1.6 goals per match over their last 15; Fremad Amager score 2.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vejle | 1.7 | 1.6 | 6 | 7/15 | 11/15 |
| Fremad Amager | 2.0 | 1.2 | 7 | 6/15 | 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 | Vejle | 12 | 6 | 5 | 1 | 24 | 15 | 23 |
A question about Vejle vs Fremad Amager?
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