Lindholm vs VRI: result 2-3 and analysis
Denmark Series - Group 3Regular Season - 22Kick-off on May 22, 2015 at 05:00 PM (UTC)Lindholm Høje Stadion, Nørresundby
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What was the result of Lindholm vs VRI?
VRI won 2-3 on May 22, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lindholm have 4 wins, 6 draws and 5 defeats; VRI have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2015 | Djursland(away) | 1-1 | Denmark Series - Group 3 |
| May 9, 2015 | Hjørring IF(home) | 2-2 | Denmark Series - Group 3 |
| May 2, 2015 | Viby(away) | 1-1 | Denmark Series - Group 3 |
| Apr 25, 2015 | Aarhus Fremad(home) | 0-3 | Denmark Series - Group 3 |
| Apr 18, 2015 | Hobro II(away) | 2-2 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2015 | Randers Freja(home) | 0-4 | Denmark Series - Group 3 |
| May 10, 2015 | AaB II(away) | 1-6 | Denmark Series - Group 3 |
| May 2, 2015 | Lystrup(home) | 1-2 | Denmark Series - Group 3 |
| Apr 25, 2015 | Lyseng(away) | 2-3 | Denmark Series - Group 3 |
| Apr 18, 2015 | Djursland(away) | 2-1 | Denmark Series - Group 3 |
What does the head-to-head say?
Across the last 3 meetings: 1 Lindholm win(s), 2 draw(s), 0 VRI win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 11, 2014 | VRI 1-1 Lindholm | Denmark Series - Group 3 |
| May 10, 2014 | VRI 2-2 Lindholm | Denmark Series - Group 3 |
| Sep 28, 2013 | Lindholm 1-0 VRI | Denmark Series - Group 3 |
How many goals should we expect?
Lindholm score 1.4 and concede 1.8 goals per match over their last 15; VRI score 1.3 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lindholm | 1.4 | 1.8 | 2 | 10/15 | 8/15 |
| VRI | 1.3 | 2.5 | 0 | 10/15 | 11/15 |
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