Hobro II vs Lindholm: result 1-2 and analysis
Denmark Series - Group 3Regular Season - 19Kick-off on May 5, 2013 at 11:00 AM (UTC)DS Arena, Hobro
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What was the result of Hobro II vs Lindholm?
Lindholm won 1-2 on May 5, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hobro II have 4 wins, 3 draws and 8 defeats; Lindholm have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2013 | Viby(away) | 0-3 | Denmark Series - Group 3 |
| Apr 20, 2013 | Odder(home) | 2-1 | Denmark Series - Group 3 |
| Apr 13, 2013 | Løgstør(away) | 1-1 | Denmark Series - Group 3 |
| Apr 6, 2013 | Kolding FC(home) | 2-1 | Denmark Series - Group 3 |
| Apr 1, 2013 | Djursland(away) | 0-1 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2013 | Holstebro(home) | 1-1 | Denmark Series - Group 3 |
| Apr 20, 2013 | Aalborg Freja(away) | 2-1 | Denmark Series - Group 3 |
| Apr 13, 2013 | Silkeborg II(home) | 0-0 | Denmark Series - Group 3 |
| Apr 6, 2013 | AaB II(away) | 1-0 | Denmark Series - Group 3 |
| Apr 1, 2013 | Kolding IF(home) | 3-3 | Denmark Series - Group 3 |
What does the head-to-head say?
In the last meeting: 0 Hobro II wins, 0 draws, 1 Lindholm win.
| Date | Score | Competition |
|---|---|---|
| Sep 15, 2012 | Lindholm 2-1 Hobro II | Denmark Series - Group 3 |
How many goals should we expect?
Hobro II score 1.3 and concede 1.7 goals per match over their last 15; Lindholm score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hobro II | 1.3 | 1.7 | 2 | 10/15 | 8/15 |
| Lindholm | 1.4 | 1.3 | 3 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Hobro II 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