Viby vs Lindholm: result 2-2 and analysis
Denmark Series - Group 3Regular Season - 25Kick-off on June 15, 2013 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 15, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viby have 4 wins, 6 draws and 5 defeats; Lindholm have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2013 | Randers Freja(away) | 1-1 | Denmark Series - Group 3 |
| Jun 5, 2013 | Kolding IF(home) | 1-1 | Denmark Series - Group 3 |
| Jun 1, 2013 | Odder(away) | 1-2 | Denmark Series - Group 3 |
| May 28, 2013 | Silkeborg II(away) | 3-3 | Denmark Series - Group 3 |
| May 25, 2013 | Løgstør(home) | 2-1 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2013 | Odder(home) | 0-1 | Denmark Series - Group 3 |
| Jun 5, 2013 | Randers Freja(home) | 1-1 | Denmark Series - Group 3 |
| Jun 1, 2013 | Løgstør(away) | 2-0 | Denmark Series - Group 3 |
| May 25, 2013 | Kolding FC(home) | 0-2 | Denmark Series - Group 3 |
| May 18, 2013 | Djursland(away) | 1-3 | Denmark Series - Group 3 |
What does the head-to-head say?
In the last meeting: 0 Viby wins, 1 draw, 0 Lindholm wins.
| Date | Score | Competition |
|---|---|---|
| Oct 27, 2012 | Lindholm 1-1 Viby | Denmark Series - Group 3 |
How many goals should we expect?
Viby score 2.1 and concede 2.0 goals per match over their last 15; Lindholm score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viby | 2.1 | 2.0 | 1 | 13/15 | 11/15 |
| Lindholm | 1.1 | 1.4 | 4 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Viby vs Lindholm?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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