Viborg vs Brønshøj: result 1-0 and analysis
1. DivisionRegular Season - 24Kick-off on April 7, 2013 at 11:45 AM (UTC)Energi Viborg Arena, Viborg
Full time
What was the result of Viborg vs Brønshøj?
Viborg won 1-0 on April 7, 2013.
Goalscorers
- 58′Thomas DalgaardViborg
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viborg have 8 wins, 5 draws and 2 defeats; Brønshøj have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2013 | AB Copenhagen(away) | 1-0 | 1. Division |
| Apr 1, 2013 | Hobro(home) | 2-1 | 1. Division |
| Mar 24, 2013 | Vendsyssel FF(home) | 0-0 | 1. Division |
| Nov 23, 2012 | HB Koge(home) | 0-0 | 1. Division |
| Nov 18, 2012 | Fyn(away) | 2-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2013 | Vendsyssel FF(home) | 0-0 | 1. Division |
| Mar 28, 2013 | Fyn(home) | 3-0 | 1. Division |
| Mar 24, 2013 | Vestsjælland(away) | 0-1 | 1. Division |
| Nov 24, 2012 | Skive(home) | 2-0 | 1. Division |
| Nov 18, 2012 | FC Fredericia(away) | 2-1 | 1. Division |
What does the head-to-head say?
Across the last 4 meetings: 1 Viborg win, 2 draws, 1 Brønshøj win.
| Date | Score | Competition |
|---|---|---|
| Oct 7, 2012 | Brønshøj 3-2 Viborg | 1. Division |
| Jul 28, 2012 | Brønshøj 2-2 Viborg | 1. Division |
| May 5, 2012 | Brønshøj 1-3 Viborg | 1. Division |
| Sep 25, 2011 | Viborg 1-1 Brønshøj | 1. Division |
How many goals should we expect?
Viborg score 1.7 and concede 0.7 goals per match over their last 15; Brønshøj score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viborg | 1.7 | 0.7 | 8 | 7/15 | 8/15 |
| Brønshøj | 1.3 | 0.9 | 6 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Viborg vs Brønshøj?
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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