Lyseng vs Aabyhøj: result 2-0 and analysis
Denmark Series - Group 3Regular Season - 22Kick-off on May 17, 2014 at 09:00 AM (UTC)Lyseng Idrætspark, Højbjerg
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What was the result of Lyseng vs Aabyhøj?
Lyseng won 2-0 on May 17, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lyseng have 4 wins, 7 draws and 4 defeats; Aabyhøj have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2014 | AaB II(away) | 3-3 | Denmark Series - Group 3 |
| May 2, 2014 | Hedensted(home) | 1-1 | Denmark Series - Group 3 |
| Apr 27, 2014 | Aarhus Fremad II(away) | 5-3 | Denmark Series - Group 3 |
| Apr 21, 2014 | Hobro II(home) | 5-3 | Denmark Series - Group 3 |
| Apr 17, 2014 | Randers Freja(away) | 0-0 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2014 | Varde(home) | 0-3 | Denmark Series - Group 3 |
| May 3, 2014 | Hjørring IF(away) | 1-5 | Denmark Series - Group 3 |
| Apr 26, 2014 | Lindholm(home) | 1-5 | Denmark Series - Group 3 |
| Apr 21, 2014 | VRI(away) | 1-2 | Denmark Series - Group 3 |
| Apr 17, 2014 | Vejgaard B(home) | 2-0 | Denmark Series - Group 3 |
What does the head-to-head say?
In the last meeting: 0 Lyseng wins, 0 draws, 1 Aabyhøj win.
| Date | Score | Competition |
|---|---|---|
| Oct 5, 2013 | Aabyhøj 2-1 Lyseng | Denmark Series - Group 3 |
How many goals should we expect?
Lyseng score 1.9 and concede 1.8 goals per match over their last 15; Aabyhøj score 1.4 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lyseng | 1.9 | 1.8 | 3 | 10/15 | 9/15 |
| Aabyhøj | 1.4 | 2.6 | 1 | 11/15 | 14/15 |
Over the last 15 matches in all competitions.
A question about Lyseng vs Aabyhøj?
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