Viby vs Vejgaard B: result 1-1 and analysis
Denmark Series - Group 3Regular Season - 24Kick-off on May 31, 2014 at 11:00 AM (UTC)Viby Idrætspark, Viby J
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What was the result of Viby vs Vejgaard B?
Viby and Vejgaard B drew 1-1 on May 31, 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; Vejgaard B have 2, 8 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2014 | Aabyhøj(away) | 4-0 | Denmark Series - Group 3 |
| May 17, 2014 | AaB II(home) | 2-1 | Denmark Series - Group 3 |
| May 8, 2014 | Hedensted(away) | 2-2 | Denmark Series - Group 3 |
| May 2, 2014 | Aarhus Fremad II(home) | 4-0 | Denmark Series - Group 3 |
| Apr 26, 2014 | Hobro II(away) | 0-1 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2014 | Lyseng(home) | 1-4 | Denmark Series - Group 3 |
| May 17, 2014 | Varde(away) | 0-0 | Denmark Series - Group 3 |
| May 11, 2014 | Hjørring IF(home) | 1-1 | Denmark Series - Group 3 |
| May 3, 2014 | Lindholm(away) | 2-0 | Denmark Series - Group 3 |
| Apr 26, 2014 | VRI(home) | 1-1 | Denmark Series - Group 3 |
What does the head-to-head say?
In the last meeting: 0 Viby wins, 1 draw, 0 Vejgaard B wins.
| Date | Score | Competition |
|---|---|---|
| Oct 19, 2013 | Vejgaard B 2-2 Viby | Denmark Series - Group 3 |
How many goals should we expect?
Viby score 2.3 and concede 1.4 goals per match over their last 15; Vejgaard B score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viby | 2.3 | 1.4 | 4 | 9/15 | 12/15 |
| Vejgaard B | 1.3 | 1.5 | 4 | 9/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Viby vs Vejgaard B?
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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