Skála vs B71: result 5-2 and analysis
1. DeildRegular Season - 25Kick-off on September 8, 2012 at 03:00 PM (UTC)Undir Mýruhjalla, Skáli, Eysturoy
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What was the result of Skála vs B71?
Skála won 5-2 on September 8, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skála have 12 wins, 2 draws and 1 defeat; B71 have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2012 | AB(away) | 1-2 | 1. Deild |
| Sep 1, 2012 | Víkingur II(away) | 2-0 | 1. Deild |
| Aug 26, 2012 | HB II(home) | 1-0 | 1. Deild |
| Aug 22, 2012 | EB / Streymur II(home) | 8-0 | 1. Deild |
| Aug 18, 2012 | NSÍ II(away) | 3-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2012 | EB / Streymur II(home) | 2-3 | 1. Deild |
| Sep 1, 2012 | HB II(away) | 1-3 | 1. Deild |
| Aug 26, 2012 | KÍ II(home) | 0-3 | 1. Deild |
| Aug 22, 2012 | NSÍ II(home) | 3-0 | 1. Deild |
| Aug 18, 2012 | B68 II(away) | 3-0 | 1. Deild |
What does the head-to-head say?
Across the last 2 meetings: 1 Skála win, 0 draws, 1 B71 win.
| Date | Score | Competition |
|---|---|---|
| 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 2.6 and concede 0.7 goals per match over their last 15; B71 score 1.7 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skála | 2.6 | 0.7 | 8 | 7/15 | 9/15 |
| B71 | 1.7 | 2.4 | 3 | 8/15 | 13/15 |
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