Brønshøj vs Vejle: result 0-0 and analysis
1. DivisionRegular Season - 3Kick-off on August 8, 2012 at 04:30 PM (UTC)Tingbjerg Idrætspark, Brønshøj
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What was the result of Brønshøj vs Vejle?
Brønshøj and Vejle drew 0-0 on August 8, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Brønshøj have 6 wins, 5 draws and 4 defeats; Vejle have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2012 | FC Fredericia(away) | 0-1 | 1. Division |
| Jul 28, 2012 | Viborg(home) | 2-2 | 1. Division |
| Jun 10, 2012 | Roskilde(home) | 2-1 | 1. Division |
| Jun 5, 2012 | AB Copenhagen(away) | 2-2 | 1. Division |
| Jun 2, 2012 | Vendsyssel FF(home) | 2-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2012 | Skive(home) | 4-1 | 1. Division |
| Jul 29, 2012 | HB Koge(away) | 1-1 | 1. Division |
| Jun 10, 2012 | Naestved(home) | 4-3 | 1. Division |
| Jun 2, 2012 | Roskilde(home) | 2-2 | 1. Division |
| May 28, 2012 | AB Copenhagen(away) | 2-0 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Brønshøj win, 0 draws, 1 Vejle win.
| Date | Score | Competition |
|---|---|---|
| Apr 5, 2012 | Brønshøj 2-1 Vejle | 1. Division |
| Aug 21, 2011 | Vejle 4-0 Brønshøj | 1. Division |
How many goals should we expect?
Brønshøj score 1.6 and concede 1.4 goals per match over their last 15; Vejle score 2.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brønshøj | 1.6 | 1.4 | 4 | 10/15 | 10/15 |
| Vejle | 2.3 | 1.5 | 3 | 11/15 | 12/15 |
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 | 10 | 5 | 4 | 1 | 23 | 15 | 19 |
A question about Brønshøj 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