B71 vs Skála: result 0-2 and analysis
1. DeildRegular Season - 7Kick-off on April 28, 2013 at 02:30 PM (UTC)inni í Dal, Sandur, Sandoy
Full time
What was the result of B71 vs Skála?
Skála won 0-2 on April 28, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B71 have 3 wins, 2 draws and 10 defeats; Skála have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2013 | Suduroy(away) | 0-3 | 1. Deild |
| Apr 17, 2013 | KÍ II(away) | 0-6 | 1. Deild |
| Apr 6, 2013 | B36 II(home) | 3-2 | 1. Deild |
| Mar 30, 2013 | Víkingur II(away) | 1-6 | 1. Deild |
| Mar 24, 2013 | TB II(away) | 1-2 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2013 | KÍ II(home) | 2-1 | 1. Deild |
| Apr 17, 2013 | B36 II(home) | 2-2 | 1. Deild |
| Apr 6, 2013 | HB II(away) | 4-3 | 1. Deild |
| Mar 30, 2013 | B68(home) | 1-2 | 1. Deild |
| Mar 23, 2013 | Suduroy(home) | 1-2 | 1. Deild |
What does the head-to-head say?
Across the last 3 meetings: 1 B71 win, 0 draws, 2 Skála wins.
| Date | Score | Competition |
|---|---|---|
| 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?
B71 score 1.4 and concede 2.9 goals per match over their last 15; Skála score 2.4 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B71 | 1.4 | 2.9 | 2 | 9/15 | 14/15 |
| Skála | 2.4 | 1.4 | 4 | 10/15 | 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 B71 vs Skála?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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