Viby vs Lindholm: result 2-2 and analysis
Denmark Series - Group 3Regular Season - 26Kick-off on June 14, 2014 at 01:00 PM (UTC)Viby Idrætspark, Viby J
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What was the result of Viby vs Lindholm?
Viby and Lindholm drew 2-2 on June 14, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viby have 6 wins, 6 draws and 3 defeats; Lindholm have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 7, 2014 | VRI(away) | 2-0 | Denmark Series - Group 3 |
| May 31, 2014 | Vejgaard B(home) | 1-1 | Denmark Series - Group 3 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 7, 2014 | Lyseng(home) | 2-2 | Denmark Series - Group 3 |
| May 31, 2014 | Varde(away) | 1-3 | Denmark Series - Group 3 |
| May 23, 2014 | Hjørring IF(home) | 0-1 | Denmark Series - Group 3 |
| May 17, 2014 | Kjellerup(away) | 1-3 | Denmark Series - Group 3 |
| May 10, 2014 | VRI(away) | 2-2 | Denmark Series - Group 3 |
What does the head-to-head say?
Across the last 3 meetings: 0 Viby win(s), 2 draw(s), 1 Lindholm win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 2, 2013 | Lindholm 3-2 Viby | Denmark Series - Group 3 |
| Jun 15, 2013 | Viby 2-2 Lindholm | Denmark Series - Group 3 |
| Oct 27, 2012 | Lindholm 1-1 Viby | Denmark Series - Group 3 |
How many goals should we expect?
Viby score 2.1 and concede 1.4 goals per match over their last 15; Lindholm score 1.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viby | 2.1 | 1.4 | 4 | 9/15 | 10/15 |
| Lindholm | 1.8 | 1.7 | 1 | 10/15 | 10/15 |
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