Skála vs AB: result 1-0 and analysis
1. DeildRegular Season - 15Kick-off on June 26, 2012 at 05:30 PM (UTC)Undir Mýruhjalla, Skáli, Eysturoy
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What was the result of Skála vs AB?
Skála won 1-0 on June 26, 2012.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Skála have 7 wins, 5 draws and 2 defeats; AB have 12, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2012 | B71(away) | 4-2 | 1. Deild |
| Jun 17, 2012 | Víkingur II(home) | 6-0 | 1. Deild |
| Jun 9, 2012 | EB / Streymur II(away) | 2-1 | 1. Deild |
| Jun 3, 2012 | NSÍ II(home) | 3-0 | 1. Deild |
| May 26, 2012 | B68 II(away) | 1-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2012 | NSÍ II(home) | 6-1 | 1. Deild |
| Jun 17, 2012 | KÍ II(home) | 6-1 | 1. Deild |
| Jun 9, 2012 | B68 II(away) | 7-1 | 1. Deild |
| Jun 2, 2012 | Víkingur II(away) | 2-4 | 1. Deild |
| May 26, 2012 | HB II(away) | 0-1 | 1. Deild |
What does the head-to-head say?
In the last meeting: 0 Skála wins, 0 draws, 1 AB win.
| Date | Score | Competition |
|---|---|---|
| Apr 4, 2012 | AB 4-2 Skála | 1. Deild |
How many goals should we expect?
Skála score 2.1 and concede 1.1 goals per match over their last 14; AB score 3.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skála | 2.1 | 1.1 | 5 | 9/14 | 8/14 |
| AB | 3.9 | 1.1 | 5 | 8/14 | 12/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
Skála sit 1st in 1. Deild (72 points from 27 matches) and AB sit 2nd (69 points from 27 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Skála | 27 | 23 | 3 | 1 | 96 | 14 | 72 |
| 2 | AB | 27 | 22 | 3 | 2 | 64 | 16 | 69 |
A question about Skála vs AB?
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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