Aabyhøj vs Hobro II: result 2-3 and analysis
Denmark Series - Group 3Regular Season - 25Kick-off on June 7, 2014 at 12:00 PM (UTC)Aabyhøj Stadion, Åbyhøj
Full time
What was the result of Aabyhøj vs Hobro II?
Hobro II won 2-3 on June 7, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aabyhøj have 5 wins, 1 draw and 9 defeats; Hobro II have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 31, 2014 | Randers Freja(away) | 2-1 | Denmark Series - Group 3 |
| May 24, 2014 | Viby(home) | 0-4 | Denmark Series - Group 3 |
| May 17, 2014 | Lyseng(away) | 0-2 | Denmark Series - Group 3 |
| May 10, 2014 | Varde(home) | 0-3 | Denmark Series - Group 3 |
| May 3, 2014 | Hjørring IF(away) | 1-5 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2014 | AaB II(home) | 2-2 | Denmark Series - Group 3 |
| May 24, 2014 | Hedensted(away) | 1-1 | Denmark Series - Group 3 |
| May 17, 2014 | Aarhus Fremad II(home) | 1-3 | Denmark Series - Group 3 |
| May 10, 2014 | Kjellerup(home) | 1-0 | Denmark Series - Group 3 |
| May 3, 2014 | Randers Freja(away) | 1-1 | Denmark Series - Group 3 |
What does the head-to-head say?
In the last meeting: 1 Aabyhøj win, 0 draws, 0 Hobro II wins.
| Date | Score | Competition |
|---|---|---|
| Oct 26, 2013 | Hobro II 1-2 Aabyhøj | Denmark Series - Group 3 |
How many goals should we expect?
Aabyhøj score 1.3 and concede 2.5 goals per match over their last 15; Hobro II score 1.4 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aabyhøj | 1.3 | 2.5 | 1 | 9/15 | 13/15 |
| Hobro II | 1.4 | 1.6 | 4 | 11/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Aabyhøj vs Hobro II?
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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