Aarhus Fremad vs Viby: result 0-0 and analysis
Denmark Series - Group 3Regular Season - 24Kick-off on June 6, 2015 at 01:00 PM (UTC)Riisvangen Stadion, Århus
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What was the result of Aarhus Fremad vs Viby?
Aarhus Fremad and Viby drew 0-0 on June 6, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aarhus Fremad have 14 wins, 0 draws and 1 defeat; Viby have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2015 | Lyseng(home) | 3-0 | Denmark Series - Group 3 |
| May 19, 2015 | Hobro II(away) | 4-0 | Denmark Series - Group 3 |
| May 16, 2015 | Holstebro(home) | 2-0 | Denmark Series - Group 3 |
| May 9, 2015 | Vorup(away) | 3-0 | Denmark Series - Group 3 |
| May 2, 2015 | Brabrand II(home) | 4-1 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2015 | Hobro II(home) | 4-1 | Denmark Series - Group 3 |
| May 23, 2015 | Holstebro(away) | 1-0 | Denmark Series - Group 3 |
| May 16, 2015 | Vorup(home) | 1-1 | Denmark Series - Group 3 |
| May 9, 2015 | Brabrand II(away) | 3-2 | Denmark Series - Group 3 |
| May 2, 2015 | Lindholm(home) | 1-1 | Denmark Series - Group 3 |
What does the head-to-head say?
In the last meeting: 1 Aarhus Fremad win, 0 draws, 0 Viby wins.
| Date | Score | Competition |
|---|---|---|
| Oct 25, 2014 | Viby 0-2 Aarhus Fremad | Denmark Series - Group 3 |
Last archived meeting: Viby vs Aarhus Fremad on Oct 25, 2014
How many goals should we expect?
Aarhus Fremad score 3.0 and concede 0.5 goals per match over their last 15; Viby score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aarhus Fremad | 3.0 | 0.5 | 11 | 4/15 | 12/15 |
| Viby | 1.7 | 1.1 | 2 | 11/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Aarhus Fremad vs Viby?
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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