FC Helsingor vs Vejle: result 3-1 and analysis
1. DivisionRegular Season - 4Kick-off on August 16, 2015 at 01:00 PM (UTC)Helsingør Ny Stadion OPV, Helsingør
Full time
What was the result of FC Helsingor vs Vejle?
FC Helsingor won 3-1 on August 16, 2015.
Goalscorers
- 33′André RielFC Helsingor
- 45′Martin SvenssonVejle
- 57′Anders HolstFC Helsingor
- 65′André RielFC Helsingor
What is the recent form of both teams?
Over their last 9 matches in all competitions, FC Helsingor have 5 wins, 0 draws and 4 defeats; Vejle have 7, 7 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2015 | Tårnby FF(away) | 3-1 | DBU Pokalen |
| Aug 9, 2015 | FC Fredericia(away) | 0-1 | 1. Division |
| Aug 2, 2015 | Naestved(home) | 2-1 | 1. Division |
| Jul 26, 2015 | Roskilde(away) | 0-3 | 1. Division |
| Aug 13, 2014 | Fremad Amager(home) | 0-3 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2015 | AC Horsens(home) | 3-0 | 1. Division |
| Aug 4, 2015 | Middelfart(away) | 5-2 | DBU Pokalen |
| Aug 1, 2015 | Vestsjælland(away) | 2-2 | 1. Division |
| Jul 26, 2015 | FC Fredericia(home) | 1-1 | 1. Division |
| Jun 6, 2015 | Brønshøj(home) | 2-0 | 1. Division |
How many goals should we expect?
FC Helsingor score 1.3 and concede 1.6 goals per match over their last 9; Vejle score 2.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Helsingor | 1.3 | 1.6 | 1 | 4/9 | 8/9 |
| Vejle | 2.1 | 1.1 | 5 | 10/15 | 9/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Vejle | 10 | 5 | 4 | 1 | 23 | 15 | 19 |
A question about FC Helsingor vs Vejle?
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