VRI vs Aarhus Fremad II: result 2-1 and analysis
Denmark Series - Group 3Regular Season - 15Kick-off on April 6, 2014 at 12:00 PM (UTC)NES Park, Risskov
Full time
What was the result of VRI vs Aarhus Fremad II?
VRI won 2-1 on April 6, 2014.
What is the recent form of both teams?
Over their last 14 matches in all competitions, VRI have 5 wins, 3 draws and 6 defeats; Aarhus Fremad II have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2014 | Hobro II(home) | 2-2 | Denmark Series - Group 3 |
| Nov 2, 2013 | Randers Freja(home) | 2-1 | Denmark Series - Group 3 |
| Oct 26, 2013 | Viby(away) | 4-4 | Denmark Series - Group 3 |
| Oct 19, 2013 | Lyseng(home) | 0-0 | Denmark Series - Group 3 |
| Oct 12, 2013 | Varde(away) | 1-3 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2014 | Vejgaard B(away) | 0-0 | Denmark Series - Group 3 |
| Nov 2, 2013 | Aabyhøj(away) | 1-4 | Denmark Series - Group 3 |
| Oct 27, 2013 | AaB II(home) | 1-2 | Denmark Series - Group 3 |
| Oct 19, 2013 | Hedensted(away) | 1-3 | Denmark Series - Group 3 |
| Oct 12, 2013 | Kjellerup(away) | 2-2 | Denmark Series - Group 3 |
What does the head-to-head say?
In the last meeting: 0 VRI wins, 0 draws, 1 Aarhus Fremad II win.
| Date | Score | Competition |
|---|---|---|
| Aug 17, 2013 | Aarhus Fremad II 2-1 VRI | Denmark Series - Group 3 |
Last archived meeting: Aarhus Fremad II vs VRI on Aug 17, 2013
How many goals should we expect?
VRI score 1.6 and concede 1.9 goals per match over their last 14; Aarhus Fremad II score 1.6 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| VRI | 1.6 | 1.9 | 3 | 9/14 | 9/14 |
| Aarhus Fremad II | 1.6 | 1.8 | 2 | 12/15 | 11/15 |
Over the last 14 matches in all competitions.
A question about VRI vs Aarhus Fremad II?
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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