B71 vs Skála: result 2-4 and analysis
1. DeildRegular Season - 14Kick-off on June 23, 2012 at 02:00 PM (UTC)inni í Dal, Sandur, Sandoy
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What was the result of B71 vs Skála?
Skála won 2-4 on June 23, 2012.
What is the recent form of both teams?
Over their last 13 matches in all competitions, B71 have 6 wins, 2 draws and 5 defeats; Skála have 6, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2012 | HB II(home) | 2-1 | 1. Deild |
| Jun 8, 2012 | NSÍ II(away) | 0-2 | 1. Deild |
| Jun 2, 2012 | B68 II(home) | 4-0 | 1. Deild |
| May 26, 2012 | Víkingur II(away) | 2-1 | 1. Deild |
| May 24, 2012 | HB II(away) | 1-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 19, 2012 | HB II(home) | 1-0 | 1. Deild |
What does the head-to-head say?
In the last meeting: 1 B71 win, 0 draws, 0 Skála wins.
| Date | Score | Competition |
|---|---|---|
| Mar 31, 2012 | Skála 1-2 B71 | 1. Deild |
How many goals should we expect?
B71 score 2.1 and concede 2.2 goals per match over their last 13; Skála score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B71 | 2.1 | 2.2 | 2 | 9/13 | 10/13 |
| Skála | 1.9 | 1.1 | 5 | 8/13 | 7/13 |
Over the last 13 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 B71 vs Skála?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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