Vejle vs Skive: result 3-0 and analysis
1. DivisionRegular Season - 12Kick-off on October 30, 2011 at 02:00 PM (UTC)Vejle Stadion, Vejle
Full time
What was the result of Vejle vs Skive?
Vejle won 3-0 on October 30, 2011.
Goalscorers
- 30′S. KielstrupVejle
- 35′Mikael RynellVejle
- 47′T. MikkelsenVejle
What is the recent form of both teams?
Over their last 11 matches in all competitions, Vejle have 5 wins, 4 draws and 2 defeats; Skive have 3, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2011 | Roskilde(away) | 3-0 | 1. Division |
| Oct 19, 2011 | Vendsyssel FF(away) | 1-1 | 1. Division |
| Oct 14, 2011 | AB Copenhagen(home) | 2-0 | 1. Division |
| Oct 2, 2011 | Vestsjælland(home) | 1-1 | 1. Division |
| Sep 23, 2011 | Esbjerg(away) | 1-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2011 | Naestved(home) | 1-0 | 1. Division |
| Oct 16, 2011 | Roskilde(home) | 2-1 | 1. Division |
| Oct 9, 2011 | AB Copenhagen(away) | 2-3 | 1. Division |
| Oct 2, 2011 | Vendsyssel FF(home) | 1-3 | 1. Division |
| Sep 25, 2011 | Vestsjælland(away) | 0-0 | 1. Division |
How many goals should we expect?
Vejle score 2.1 and concede 0.9 goals per match over their last 11; Skive score 0.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vejle | 2.1 | 0.9 | 5 | 6/11 | 6/11 |
| Skive | 0.9 | 1.8 | 4 | 6/11 | 6/11 |
Over the last 11 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 Vejle vs Skive?
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