Skála vs B36 II: result 4-0 and analysis
1. DeildRegular Season - 11Kick-off on May 23, 2015 at 04:30 PM (UTC)Undir Mýruhjalla, Skáli, Eysturoy
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What was the result of Skála vs B36 II?
Skála won 4-0 on May 23, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skála have 9 wins, 3 draws and 3 defeats; B36 II have 2, 7 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2015 | KÍ II(away) | 5-0 | 1. Deild |
| May 9, 2015 | MB(home) | 5-1 | 1. Deild |
| May 1, 2015 | B68(away) | 0-1 | 1. Deild |
| Apr 25, 2015 | NSÍ II(away) | 2-1 | 1. Deild |
| Apr 18, 2015 | AB II(home) | 4-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2015 | Víkingur II(away) | 1-1 | 1. Deild |
| May 9, 2015 | NSÍ II(home) | 0-5 | 1. Deild |
| May 2, 2015 | AB II(away) | 2-2 | 1. Deild |
| Apr 25, 2015 | KÍ II(away) | 0-5 | 1. Deild |
| Apr 18, 2015 | B71(home) | 0-0 | 1. Deild |
What does the head-to-head say?
Across the last 4 meetings: 2 Skála wins, 1 draw, 1 B36 II win.
| Date | Score | Competition |
|---|---|---|
| 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?
Skála score 2.5 and concede 1.3 goals per match over their last 15; B36 II score 0.9 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skála | 2.5 | 1.3 | 3 | 9/15 | 11/15 |
| B36 II | 0.9 | 2.3 | 4 | 7/15 | 9/15 |
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 Skála vs B36 II?
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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