Lyseng vs VSK Århus: result 0-4 and analysis
Denmark Series - Group 4Regular Season - 14Kick-off on November 3, 2018 at 12:15 PM (UTC)Lyseng Idrætspark, Højbjerg
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What was the result of Lyseng vs VSK Århus?
VSK Århus won 0-4 on November 3, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lyseng have 8 wins, 4 draws and 3 defeats; VSK Århus have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2018 | Holstebro(away) | 2-2 | Denmark Series - Group 4 |
| Oct 20, 2018 | AaB II(home) | 3-0 | Denmark Series - Group 4 |
| Oct 14, 2018 | Vatanspor(away) | 3-1 | Denmark Series - Group 4 |
| Oct 6, 2018 | Djursland(home) | 3-3 | Denmark Series - Group 4 |
| Sep 29, 2018 | Nørresundby(home) | 1-2 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2018 | Viby(away) | 3-2 | Denmark Series - Group 4 |
| Oct 20, 2018 | Holstebro(home) | 2-1 | Denmark Series - Group 4 |
| Oct 13, 2018 | AaB II(away) | 2-3 | Denmark Series - Group 4 |
| Oct 6, 2018 | Vatanspor(home) | 4-0 | Denmark Series - Group 4 |
| Sep 29, 2018 | Djursland(home) | 1-3 | Denmark Series - Group 4 |
What does the head-to-head say?
In the last meeting: 0 Lyseng wins, 0 draws, 1 VSK Århus win.
| Date | Score | Competition |
|---|---|---|
| Aug 31, 2018 | VSK Århus 1-0 Lyseng | Denmark Series - Group 4 |
How many goals should we expect?
Lyseng score 2.2 and concede 1.1 goals per match over their last 15; VSK Århus score 1.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lyseng | 2.2 | 1.1 | 5 | 9/15 | 10/15 |
| VSK Århus | 1.9 | 1.6 | 5 | 8/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Lyseng vs VSK Århus?
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