Viby vs Kjellerup: result 1-0 and analysis
Denmark Series - Group 3Regular Season - 19Kick-off on April 30, 2016 at 11:00 AM (UTC)Viby Idrætspark, Viby J
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What was the result of Viby vs Kjellerup?
Viby won 1-0 on April 30, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viby have 5 wins, 3 draws and 7 defeats; Kjellerup have 10, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2016 | Aarhus Fremad II(away) | 1-2 | Denmark Series - Group 3 |
| Apr 16, 2016 | Skanderborg(home) | 2-1 | Denmark Series - Group 3 |
| Apr 9, 2016 | Lystrup(away) | 0-1 | Denmark Series - Group 3 |
| Apr 2, 2016 | Lyseng(home) | 2-4 | Denmark Series - Group 3 |
| Mar 28, 2016 | Randers Freja(away) | 1-2 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2016 | Aabyhøj(home) | 3-0 | Denmark Series - Group 3 |
| Apr 15, 2016 | AaB II(home) | 6-2 | Denmark Series - Group 3 |
| Apr 9, 2016 | Aarhus Fremad II(away) | 0-2 | Denmark Series - Group 3 |
| Apr 2, 2016 | Skanderborg(home) | 2-1 | Denmark Series - Group 3 |
| Mar 28, 2016 | Lystrup(away) | 1-3 | Denmark Series - Group 3 |
What does the head-to-head say?
Across the last 3 meetings: 1 Viby win(s), 1 draw(s), 1 Kjellerup win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 12, 2015 | Kjellerup 1-3 Viby | Denmark Series - Group 3 |
| Apr 17, 2014 | Viby 0-0 Kjellerup | Denmark Series - Group 3 |
| Aug 31, 2013 | Kjellerup 2-1 Viby | Denmark Series - Group 3 |
How many goals should we expect?
Viby score 1.9 and concede 2.0 goals per match over their last 15; Kjellerup score 2.6 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viby | 1.9 | 2.0 | 0 | 13/15 | 11/15 |
| Kjellerup | 2.6 | 1.9 | 3 | 11/15 | 14/15 |
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