Skála vs NSÍ II: result 3-0 and analysis
1. DeildRegular Season - 17Kick-off on June 27, 2015 at 02:00 PM (UTC)Undir Mýruhjalla, Skáli, Eysturoy
Full time
What was the result of Skála vs NSÍ II?
Skála won 3-0 on June 27, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skála have 11 wins, 3 draws and 1 defeat; NSÍ II have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2015 | B71(home) | 3-0 | 1. Deild |
| Jun 14, 2015 | AB II(away) | 1-0 | 1. Deild |
| Jun 10, 2015 | B68(home) | 3-1 | 1. Deild |
| Jun 6, 2015 | 07 Vestur(away) | 1-1 | 1. Deild |
| May 30, 2015 | Víkingur II(away) | 1-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2015 | KÍ II(away) | 1-5 | 1. Deild |
| Jun 10, 2015 | MB(home) | 3-0 | 1. Deild |
| Jun 6, 2015 | B71(away) | 1-6 | 1. Deild |
| May 30, 2015 | AB II(home) | 1-2 | 1. Deild |
| May 23, 2015 | B68(away) | 1-2 | 1. Deild |
What does the head-to-head say?
Across the last 4 meetings: 4 Skála wins, 0 draws, 0 NSÍ II wins.
| Date | Score | Competition |
|---|---|---|
| Apr 25, 2015 | NSÍ II 1-2 Skála | 1. Deild |
| Aug 18, 2012 | NSÍ II 1-3 Skála | 1. Deild |
| Jun 3, 2012 | Skála 3-0 NSÍ II | 1. Deild |
| Apr 22, 2012 | NSÍ II 0-1 Skála | 1. Deild |
How many goals should we expect?
Skála score 2.7 and concede 0.7 goals per match over their last 15; NSÍ II score 1.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skála | 2.7 | 0.7 | 6 | 8/15 | 10/15 |
| NSÍ II | 1.7 | 1.9 | 5 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | NSÍ II | 25 | 7 | 5 | 13 | 36 | 57 | 26 |
A question about Skála vs NSÍ 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