Naestved vs Vejle: result 2-2 and analysis
1. DivisionRegular Season - 13Kick-off on November 6, 2011 at 02:00 PM (UTC)Tved Stadion, Næstved
Full time
What was the result of Naestved vs Vejle?
Naestved and Vejle drew 2-2 on November 6, 2011.
Goalscorers
- 42′V. Hammershøy-MistratiNaestved
- 49′Jonatan NeftalíVejle
- 87′Karsten JensenNaestved
- 90′Oliver ThychosenVejle
What is the recent form of both teams?
Over their last 12 matches in all competitions, Naestved have 1 win, 2 draws and 9 defeats; Vejle have 6, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2011 | FC Fredericia(away) | 1-2 | 1. Division |
| Oct 23, 2011 | Skive(away) | 0-1 | 1. Division |
| Oct 16, 2011 | Viborg(home) | 0-3 | 1. Division |
| Oct 9, 2011 | Roskilde(away) | 0-2 | 1. Division |
| Oct 2, 2011 | Jammerbugt(home) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2011 | Skive(home) | 3-0 | 1. Division |
| 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 |
How many goals should we expect?
Naestved score 0.9 and concede 2.4 goals per match over their last 12; Vejle score 2.2 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naestved | 0.9 | 2.4 | 1 | 6/12 | 7/12 |
| Vejle | 2.2 | 0.8 | 6 | 6/12 | 7/12 |
Over the last 12 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 Naestved vs Vejle?
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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