Viby vs Varde: result 0-2 and analysis
Denmark Series - Group 3Regular Season - 15Kick-off on April 5, 2014 at 11:00 AM (UTC)Viby Idrætspark, Viby J
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What was the result of Viby vs Varde?
Varde won 0-2 on April 5, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viby have 7 wins, 5 draws and 3 defeats; Varde have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2014 | Hjørring IF(away) | 3-1 | Denmark Series - Group 3 |
| Nov 2, 2013 | Lindholm(away) | 2-3 | Denmark Series - Group 3 |
| Oct 26, 2013 | VRI(home) | 4-4 | Denmark Series - Group 3 |
| Oct 19, 2013 | Vejgaard B(away) | 2-2 | Denmark Series - Group 3 |
| Oct 12, 2013 | Aabyhøj(home) | 4-0 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2014 | Lyseng(home) | 1-3 | Denmark Series - Group 3 |
| Nov 2, 2013 | Kjellerup(away) | 3-2 | Denmark Series - Group 3 |
| Oct 26, 2013 | Hjørring IF(home) | 2-1 | Denmark Series - Group 3 |
| Oct 20, 2013 | Lindholm(away) | 2-0 | Denmark Series - Group 3 |
| Oct 12, 2013 | VRI(home) | 3-1 | Denmark Series - Group 3 |
What does the head-to-head say?
In the last meeting: 0 Viby wins, 1 draw, 0 Varde wins.
| Date | Score | Competition |
|---|---|---|
| Aug 17, 2013 | Varde 1-1 Viby | Denmark Series - Group 3 |
How many goals should we expect?
Viby score 2.3 and concede 1.7 goals per match over their last 15; Varde score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viby | 2.3 | 1.7 | 4 | 11/15 | 11/15 |
| Varde | 1.9 | 1.3 | 2 | 12/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Viby vs Varde?
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