Skála vs HB II: result 1-0 and analysis
1. DeildRegular Season - 22Kick-off on August 26, 2012 at 02:00 PM (UTC)Undir Mýruhjalla, Skáli, Eysturoy
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What was the result of Skála vs HB II?
Skála won 1-0 on August 26, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skála have 11 wins, 4 draws and 0 defeats; HB II have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2012 | EB / Streymur II(home) | 8-0 | 1. Deild |
| Aug 18, 2012 | NSÍ II(away) | 3-1 | 1. Deild |
| Aug 13, 2012 | B68 II(home) | 1-0 | 1. Deild |
| Aug 4, 2012 | HB II(away) | 3-2 | 1. Deild |
| Aug 1, 2012 | KÍ II(home) | 2-2 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2012 | KÍ II(away) | 3-1 | 1. Deild |
| Aug 18, 2012 | 07 Vestur(home) | 0-0 | 1. Deild |
| Aug 13, 2012 | AB(away) | 2-0 | 1. Deild |
| Aug 4, 2012 | Skála(home) | 2-3 | 1. Deild |
| Aug 1, 2012 | NSÍ II(away) | 2-2 | 1. Deild |
What does the head-to-head say?
Across the last 2 meetings: 2 Skála wins, 0 draws, 0 HB II wins.
| Date | Score | Competition |
|---|---|---|
| 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?
Skála score 2.6 and concede 0.8 goals per match over their last 15; HB II score 1.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skála | 2.6 | 0.8 | 7 | 8/15 | 9/15 |
| HB II | 1.7 | 1.0 | 6 | 8/15 | 8/15 |
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 Skála vs HB 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