B71 vs Skála: result 0-8 and analysis
1. DeildRegular Season - 25Kick-off on September 22, 2013 at 02:30 PM (UTC)inni í Dal, Sandur, Sandoy
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What was the result of B71 vs Skála?
Skála won 0-8 on September 22, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B71 have 4 wins, 1 draws and 10 defeats; Skála have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2013 | Suduroy(away) | 2-6 | 1. Deild |
| Sep 8, 2013 | TB II(away) | 0-0 | 1. Deild |
| Sep 1, 2013 | B36 II(home) | 3-1 | 1. Deild |
| Aug 25, 2013 | Víkingur II(away) | 0-2 | 1. Deild |
| Aug 17, 2013 | EB / Streymur II(home) | 0-2 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2013 | KÍ II(home) | 2-1 | 1. Deild |
| Sep 1, 2013 | HB II(away) | 3-2 | 1. Deild |
| Aug 28, 2013 | B68(home) | 1-1 | 1. Deild |
| Aug 23, 2013 | TB II(home) | 2-2 | 1. Deild |
| Aug 10, 2013 | Suduroy(away) | 3-3 | 1. Deild |
What does the head-to-head say?
Across the last 5 meetings: 1 B71 win(s), 0 draw(s), 4 Skála win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 22, 2013 | Skála 3-0 B71 | 1. Deild |
| 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?
B71 score 0.9 and concede 2.8 goals per match over their last 15; Skála score 2.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B71 | 0.9 | 2.8 | 3 | 6/15 | 10/15 |
| Skála | 2.7 | 1.4 | 4 | 10/15 | 12/15 |
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 | 20 | 16 | 2 | 2 | 63 | 18 | 50 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy