Skála vs B71: result 3-0 and analysis
1. DeildRegular Season - 16Kick-off on June 22, 2013 at 04:30 PM (UTC)Undir Mýruhjalla, Skáli, Eysturoy
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What was the result of Skála vs B71?
Skála won 3-0 on June 22, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skála have 6 wins, 3 draws and 6 defeats; B71 have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2013 | KÍ II(away) | 2-2 | 1. Deild |
| Jun 8, 2013 | HB II(home) | 1-2 | 1. Deild |
| May 31, 2013 | B68(away) | 1-1 | 1. Deild |
| May 25, 2013 | TB II(away) | 8-0 | 1. Deild |
| May 18, 2013 | Suduroy(away) | 0-3 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2013 | Suduroy(home) | 2-1 | 1. Deild |
| Jun 8, 2013 | B36 II(away) | 0-6 | 1. Deild |
| Jun 1, 2013 | Víkingur II(home) | 0-3 | 1. Deild |
| May 25, 2013 | EB / Streymur II(away) | 1-0 | 1. Deild |
| May 18, 2013 | TB II(home) | 2-0 | 1. Deild |
What does the head-to-head say?
Across the last 4 meetings: 3 Skála wins, 0 draws, 1 B71 win.
| Date | Score | Competition |
|---|---|---|
| Apr 28, 2013 | B71 0-2 Skála | 1. Deild |
| Sep 8, 2012 | Skála 5-2 B71 | 1. Deild |
| Jun 23, 2012 | B71 2-4 Skála | 1. Deild |
| Mar 31, 2012 | Skála 1-2 B71 | 1. Deild |
How many goals should we expect?
Skála score 2.2 and concede 1.7 goals per match over their last 15; B71 score 0.9 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skála | 2.2 | 1.7 | 2 | 11/15 | 12/15 |
| B71 | 0.9 | 2.9 | 2 | 7/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | B71 | 25 | 19 | 3 | 3 | 78 | 27 | 60 |
A question about Skála vs B71?
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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