B36 II vs Skála: result 1-4 and analysis
1. DeildRegular Season - 20Kick-off on August 8, 2015 at 10:30 AM (UTC)Gundadalur, Tórshavn, Streymoy
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What was the result of B36 II vs Skála?
Skála won 1-4 on August 8, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B36 II have 2 wins, 5 draws and 8 defeats; Skála have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 4, 2015 | Víkingur II(home) | 1-3 | 1. Deild |
| Jun 27, 2015 | KÍ II(home) | 0-1 | 1. Deild |
| Jun 20, 2015 | MB(home) | 3-2 | 1. Deild |
| Jun 14, 2015 | B71(away) | 0-3 | 1. Deild |
| Jun 10, 2015 | AB II(home) | 0-0 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 3, 2015 | KÍ II(home) | 3-1 | 1. Deild |
| Jul 1, 2015 | MB(away) | 9-1 | 1. Deild |
| Jun 27, 2015 | NSÍ II(home) | 3-0 | 1. Deild |
| Jun 20, 2015 | B71(home) | 3-0 | 1. Deild |
| Jun 14, 2015 | AB II(away) | 1-0 | 1. Deild |
What does the head-to-head say?
Across the last 5 meetings: 1 B36 II win, 1 draw, 3 Skála wins.
| Date | Score | Competition |
|---|---|---|
| May 23, 2015 | Skála 4-0 B36 II | 1. Deild |
| Mar 21, 2015 | B36 II 0-4 Skála | 1. Deild |
| Aug 6, 2013 | Skála 7-1 B36 II | 1. Deild |
| May 15, 2013 | B36 II 3-2 Skála | 1. Deild |
| Apr 17, 2013 | Skála 2-2 B36 II | 1. Deild |
How many goals should we expect?
B36 II score 0.9 and concede 2.7 goals per match over their last 15; Skála score 2.9 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B36 II | 0.9 | 2.7 | 2 | 7/15 | 10/15 |
| Skála | 2.9 | 0.6 | 6 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | B36 II | 25 | 10 | 2 | 13 | 53 | 63 | 32 |
A question about B36 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