Skála vs Víkingur II: result 6-0 and analysis
1. DeildRegular Season - 13Kick-off on June 17, 2012 at 02:00 PM (UTC)Undir Mýruhjalla, Skáli, Eysturoy
Full time
What was the result of Skála vs Víkingur II?
Skála won 6-0 on June 17, 2012.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Skála have 5 wins, 5 draws and 2 defeats; Víkingur II have 6, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2012 | EB / Streymur II(away) | 2-1 | 1. Deild |
| Jun 3, 2012 | NSÍ II(home) | 3-0 | 1. Deild |
| May 26, 2012 | B68 II(away) | 1-1 | 1. Deild |
| May 19, 2012 | HB II(home) | 1-0 | 1. Deild |
| May 16, 2012 | Víkingur II(away) | 1-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2012 | 07 Vestur(home) | 2-3 | 1. Deild |
| Jun 2, 2012 | AB(home) | 4-2 | 1. Deild |
| May 26, 2012 | B71(home) | 1-2 | 1. Deild |
| May 19, 2012 | NSÍ II(away) | 4-3 | 1. Deild |
| May 16, 2012 | Skála(home) | 1-1 | 1. Deild |
What does the head-to-head say?
In the last meeting: 0 Skála wins, 1 draw, 0 Víkingur II wins.
| Date | Score | Competition |
|---|---|---|
| May 16, 2012 | Víkingur II 1-1 Skála | 1. Deild |
How many goals should we expect?
Skála score 1.6 and concede 1.2 goals per match over their last 12; Víkingur II score 2.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skála | 1.6 | 1.2 | 4 | 8/12 | 6/12 |
| Víkingur II | 2.5 | 1.9 | 2 | 8/12 | 10/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Víkingur II | 25 | 18 | 3 | 4 | 69 | 42 | 57 |
A question about Skála vs Víkingur II?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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