NSÍ II vs Skála: result 1-3 and analysis
1. DeildRegular Season - 27Kick-off on September 26, 2015 at 01:00 PM (UTC)við Løkin, Runavík, Eysturoy
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What was the result of NSÍ II vs Skála?
Skála won 1-3 on September 26, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, NSÍ II have 5 wins, 3 draws and 7 defeats; Skála have 12, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2015 | B36 II(away) | 3-2 | 1. Deild |
| Sep 12, 2015 | KÍ II(home) | 5-5 | 1. Deild |
| Sep 9, 2015 | B36 II(home) | 3-1 | 1. Deild |
| Aug 30, 2015 | Víkingur II(away) | 3-4 | 1. Deild |
| Aug 22, 2015 | MB(away) | 4-0 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2015 | MB(home) | 12-1 | 1. Deild |
| Sep 12, 2015 | B71(away) | 5-0 | 1. Deild |
| Aug 30, 2015 | AB II(home) | 8-0 | 1. Deild |
| Aug 22, 2015 | B68(away) | 0-0 | 1. Deild |
| Aug 19, 2015 | 07 Vestur(home) | 1-0 | 1. Deild |
What does the head-to-head say?
Across the last 5 meetings: 0 NSÍ II wins, 0 draws, 5 Skála wins.
| Date | Score | Competition |
|---|---|---|
| Jun 27, 2015 | Skála 3-0 NSÍ II | 1. Deild |
| 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?
NSÍ II score 2.2 and concede 2.4 goals per match over their last 15; Skála score 3.9 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NSÍ II | 2.2 | 2.4 | 3 | 11/15 | 15/15 |
| Skála | 3.9 | 0.5 | 8 | 7/15 | 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