NSÍ II vs Skála: result 1-2 and analysis
1. DeildRegular Season - 7Kick-off on April 25, 2015 at 02:00 PM (UTC)við Løkin, Runavík, Eysturoy
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What was the result of NSÍ II vs Skála?
Skála won 1-2 on April 25, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, NSÍ II have 4 wins, 2 draws and 9 defeats; Skála have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2015 | Víkingur II(away) | 2-0 | 1. Deild |
| Apr 11, 2015 | KÍ II(home) | 2-0 | 1. Deild |
| Apr 1, 2015 | 07 Vestur(away) | 0-1 | 1. Deild |
| Mar 21, 2015 | B68(home) | 0-3 | 1. Deild |
| Mar 14, 2015 | B71(home) | 2-4 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2015 | AB II(home) | 4-1 | 1. Deild |
| Apr 11, 2015 | B71(away) | 0-0 | 1. Deild |
| Mar 31, 2015 | KÍ II(home) | 4-2 | 1. Deild |
| Mar 21, 2015 | B36 II(away) | 4-0 | 1. Deild |
| Mar 14, 2015 | 07 Vestur(home) | 4-2 | 1. Deild |
What does the head-to-head say?
Across the last 3 meetings: 0 NSÍ II wins, 0 draws, 3 Skála wins.
| Date | Score | Competition |
|---|---|---|
| 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?
NSÍ II score 1.2 and concede 1.9 goals per match over their last 15; Skála score 1.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NSÍ II | 1.2 | 1.9 | 2 | 9/15 | 11/15 |
| Skála | 1.9 | 1.7 | 2 | 9/15 | 10/15 |
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 NSÍ II vs Skála?
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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