Viby vs Vejgaard B: result 2-0 and analysis
Denmark Series - Group 3Regular Season - 22Kick-off on May 21, 2016 at 11:00 AM (UTC)Viby Idrætspark, Viby J
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What was the result of Viby vs Vejgaard B?
Viby won 2-0 on May 21, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viby have 4 wins, 3 draws and 8 defeats; Vejgaard B have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | AaB II(home) | 1-2 | Denmark Series - Group 3 |
| May 5, 2016 | Aabyhøj(away) | 2-3 | Denmark Series - Group 3 |
| Apr 30, 2016 | Kjellerup(home) | 1-0 | Denmark Series - Group 3 |
| Apr 23, 2016 | Aarhus Fremad II(away) | 1-2 | Denmark Series - Group 3 |
| Apr 16, 2016 | Skanderborg(home) | 2-1 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2016 | Aabyhøj(home) | 1-0 | Denmark Series - Group 3 |
| May 7, 2016 | Kjellerup(away) | 1-3 | Denmark Series - Group 3 |
| Apr 30, 2016 | Aarhus Fremad II(home) | 1-1 | Denmark Series - Group 3 |
| Apr 23, 2016 | Skanderborg(away) | 1-1 | Denmark Series - Group 3 |
| Apr 16, 2016 | Lystrup(home) | 1-1 | Denmark Series - Group 3 |
What does the head-to-head say?
Across the last 3 meetings: 0 Viby win(s), 2 draw(s), 1 Vejgaard B win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 3, 2015 | Vejgaard B 2-0 Viby | Denmark Series - Group 3 |
| May 31, 2014 | Viby 1-1 Vejgaard B | Denmark Series - Group 3 |
| Oct 19, 2013 | Vejgaard B 2-2 Viby | Denmark Series - Group 3 |
How many goals should we expect?
Viby score 1.5 and concede 2.1 goals per match over their last 15; Vejgaard B score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viby | 1.5 | 2.1 | 1 | 12/15 | 10/15 |
| Vejgaard B | 1.3 | 0.9 | 6 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy