Skjold Sæby vs Vatanspor: result 1-2 and analysis
Denmark Series - Group 4Regular Season - 13Kick-off on October 29, 2016 at 11:30 AM (UTC)Fælledparken, København
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What was the result of Skjold Sæby vs Vatanspor?
Vatanspor won 1-2 on October 29, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skjold Sæby have 3 wins, 0 draws and 12 defeats; Vatanspor have 4, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2016 | Aarhus Fremad II(away) | 0-3 | Denmark Series - Group 4 |
| Oct 15, 2016 | Holstebro(home) | 1-0 | Denmark Series - Group 4 |
| Oct 8, 2016 | Lyseng(away) | 1-2 | Denmark Series - Group 4 |
| Oct 1, 2016 | Lystrup(away) | 2-0 | Denmark Series - Group 4 |
| Sep 24, 2016 | Skanderborg(home) | 1-0 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2016 | AaB II(home) | 1-4 | Denmark Series - Group 4 |
| Oct 16, 2016 | Aarhus Fremad II(home) | 1-1 | Denmark Series - Group 4 |
| Oct 8, 2016 | Holstebro(away) | 2-5 | Denmark Series - Group 4 |
| Oct 1, 2016 | Lyseng(away) | 0-1 | Denmark Series - Group 4 |
| Sep 25, 2016 | Lystrup(home) | 0-0 | Denmark Series - Group 4 |
What does the head-to-head say?
Across the last 1 meetings: 0 Skjold Sæby win(s), 0 draw(s), 1 Vatanspor win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 28, 2016 | Vatanspor 3-0 Skjold Sæby | Denmark Series - Group 4 |
Last archived meeting: Vatanspor vs Skjold Sæby on Aug 28, 2016
How many goals should we expect?
Skjold Sæby score 0.9 and concede 2.3 goals per match over their last 15; Vatanspor score 1.6 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skjold Sæby | 0.9 | 2.3 | 3 | 7/15 | 11/15 |
| Vatanspor | 1.6 | 1.8 | 3 | 10/14 | 8/14 |
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