Vatanspor vs Skjold Sæby: result 3-0 and analysis
Denmark Series - Group 4Regular Season - 22Kick-off on May 13, 2017 at 12:30 PM (UTC)Bøgeskov Idrætsanlæg, Fredericia
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What was the result of Vatanspor vs Skjold Sæby?
Vatanspor won 3-0 on May 13, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vatanspor have 7 wins, 4 draws and 4 defeats; Skjold Sæby have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | AaB II(away) | 1-3 | Denmark Series - Group 4 |
| Apr 30, 2017 | Aarhus Fremad II(away) | 2-2 | Denmark Series - Group 4 |
| Apr 22, 2017 | Holstebro(home) | 0-0 | Denmark Series - Group 4 |
| Apr 16, 2017 | Lyseng(home) | 1-0 | Denmark Series - Group 4 |
| Apr 8, 2017 | Lystrup(away) | 1-0 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | Aarhus Fremad II(home) | 1-2 | Denmark Series - Group 4 |
| Apr 30, 2017 | Holstebro(away) | 1-1 | Denmark Series - Group 4 |
| Apr 22, 2017 | Lyseng(home) | 0-3 | Denmark Series - Group 4 |
| Apr 17, 2017 | Lystrup(home) | 2-2 | Denmark Series - Group 4 |
| Apr 8, 2017 | Skanderborg(away) | 2-4 | Denmark Series - Group 4 |
What does the head-to-head say?
Across the last 2 meetings: 2 Vatanspor win(s), 0 draw(s), 0 Skjold Sæby win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 29, 2016 | Skjold Sæby 1-2 Vatanspor | Denmark Series - Group 4 |
| Aug 28, 2016 | Vatanspor 3-0 Skjold Sæby | Denmark Series - Group 4 |
Last archived meeting: Skjold Sæby vs Vatanspor on Oct 29, 2016
How many goals should we expect?
Vatanspor score 1.5 and concede 1.3 goals per match over their last 15; Skjold Sæby score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vatanspor | 1.5 | 1.3 | 5 | 9/15 | 8/15 |
| Skjold Sæby | 1.1 | 1.9 | 3 | 10/15 | 10/15 |
Over the last 15 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