VSK Århus vs Vatanspor: result 4-0 and analysis
Denmark Series - Group 4Regular Season - 10Kick-off on October 6, 2018 at 11:00 AM (UTC)Vejlby Stadion, Risskov
Full time
What was the result of VSK Århus vs Vatanspor?
VSK Århus won 4-0 on October 6, 2018.
What is the recent form of both teams?
Over their last 14 matches in all competitions, VSK Århus have 7 wins, 1 draws and 6 defeats; Vatanspor have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2018 | Djursland(home) | 1-3 | Denmark Series - Group 4 |
| Sep 22, 2018 | Nørresundby(away) | 0-3 | Denmark Series - Group 4 |
| Sep 14, 2018 | Aarhus Fremad II(home) | 4-0 | Denmark Series - Group 4 |
| Sep 8, 2018 | Lystrup(away) | 4-0 | Denmark Series - Group 4 |
| Aug 31, 2018 | Lyseng(home) | 1-0 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2018 | Holstebro(away) | 2-0 | Denmark Series - Group 4 |
| Sep 23, 2018 | AaB II(home) | 3-1 | Denmark Series - Group 4 |
| Sep 15, 2018 | Viby(away) | 1-1 | Denmark Series - Group 4 |
| Sep 8, 2018 | Djursland(away) | 3-4 | Denmark Series - Group 4 |
| Sep 2, 2018 | Nørresundby(home) | 2-1 | Denmark Series - Group 4 |
What does the head-to-head say?
Across the last 1 meetings: 0 VSK Århus win(s), 1 draw(s), 0 Vatanspor win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 4, 2018 | Vatanspor 2-2 VSK Århus | Denmark Series - Group 4 |
Last archived meeting: Vatanspor vs VSK Århus on Aug 4, 2018
How many goals should we expect?
VSK Århus score 2.4 and concede 1.6 goals per match over their last 14; Vatanspor score 1.6 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| VSK Århus | 2.4 | 1.6 | 5 | 6/14 | 11/14 |
| Vatanspor | 1.6 | 1.6 | 1 | 12/15 | 9/15 |
Over the last 14 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy