Vejgaard B vs VRI: result 1-1 and analysis
Denmark Series - Group 3Regular Season - 19Kick-off on April 26, 2014 at 12:00 PM (UTC)Spar Nord Arena, Aalborg
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What was the result of Vejgaard B vs VRI?
Vejgaard B and VRI drew 1-1 on April 26, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vejgaard B have 1 win, 5 draws and 9 defeats; VRI have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2014 | Kjellerup(away) | 1-1 | Denmark Series - Group 3 |
| Apr 17, 2014 | Aabyhøj(away) | 0-2 | Denmark Series - Group 3 |
| Apr 12, 2014 | AaB II(home) | 6-2 | Denmark Series - Group 3 |
| Apr 5, 2014 | Hedensted(away) | 0-1 | Denmark Series - Group 3 |
| Mar 29, 2014 | Aarhus Fremad II(home) | 0-0 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2014 | Aabyhøj(home) | 2-1 | Denmark Series - Group 3 |
| Apr 17, 2014 | AaB II(away) | 3-1 | Denmark Series - Group 3 |
| Apr 11, 2014 | Hedensted(home) | 3-3 | Denmark Series - Group 3 |
| Apr 6, 2014 | Aarhus Fremad II(home) | 2-1 | Denmark Series - Group 3 |
| Mar 29, 2014 | Hobro II(home) | 2-2 | Denmark Series - Group 3 |
What does the head-to-head say?
In the last meeting: 0 Vejgaard B wins, 0 draws, 1 VRI win.
| Date | Score | Competition |
|---|---|---|
| Sep 14, 2013 | VRI 2-1 Vejgaard B | Denmark Series - Group 3 |
How many goals should we expect?
Vejgaard B score 1.2 and concede 1.9 goals per match over their last 15; VRI score 1.8 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vejgaard B | 1.2 | 1.9 | 2 | 9/15 | 9/15 |
| VRI | 1.8 | 2.0 | 2 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Vejgaard B vs VRI?
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