HB II vs Skála: result 3-4 and analysis
1. DeildRegular Season - 4Kick-off on April 6, 2013 at 02:00 PM (UTC)Gundadalur, Tórshavn, Streymoy
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What was the result of HB II vs Skála?
Skála won 3-4 on April 6, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, HB II have 9 wins, 3 draws and 3 defeats; Skála have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2013 | Suduroy(away) | 1-2 | 1. Deild |
| Mar 23, 2013 | Víkingur II(away) | 3-1 | 1. Deild |
| Mar 20, 2013 | B36 II(home) | 4-1 | 1. Deild |
| Sep 22, 2012 | B68 II(away) | 2-1 | 1. Deild |
| Sep 15, 2012 | NSÍ II(home) | 7-0 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2013 | B68(home) | 1-2 | 1. Deild |
| Mar 23, 2013 | Suduroy(home) | 1-2 | 1. Deild |
| Mar 16, 2013 | TB II(home) | 4-2 | 1. Deild |
| Sep 22, 2012 | 07 Vestur(home) | 0-2 | 1. Deild |
| Sep 15, 2012 | KÍ II(away) | 1-2 | 1. Deild |
What does the head-to-head say?
Across the last 3 meetings: 0 HB II wins, 0 draws, 3 Skála wins.
| Date | Score | Competition |
|---|---|---|
| Aug 26, 2012 | Skála 1-0 HB II | 1. Deild |
| Aug 4, 2012 | HB II 2-3 Skála | 1. Deild |
| May 19, 2012 | Skála 1-0 HB II | 1. Deild |
How many goals should we expect?
HB II score 2.5 and concede 1.2 goals per match over their last 15; Skála score 2.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| HB II | 2.5 | 1.2 | 3 | 11/15 | 12/15 |
| Skála | 2.3 | 1.3 | 5 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | HB II | 25 | 5 | 7 | 13 | 33 | 45 | 22 |
A question about HB 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