Skála vs MB: result 12-1 and analysis
1. DeildRegular Season - 26Kick-off on September 19, 2015 at 02:00 PM (UTC)Undir Mýruhjalla, Skáli, Eysturoy
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What was the result of Skála vs MB?
Skála won 12-1 on September 19, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skála have 12 wins, 3 draws and 0 defeats; MB have 1, 1 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2015 | B71(away) | 5-0 | 1. Deild |
| Aug 30, 2015 | AB II(home) | 8-0 | 1. Deild |
| Aug 22, 2015 | B68(away) | 0-0 | 1. Deild |
| Aug 19, 2015 | 07 Vestur(home) | 1-0 | 1. Deild |
| Aug 15, 2015 | Víkingur II(home) | 4-0 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2015 | B36 II(home) | 0-7 | 1. Deild |
| Aug 30, 2015 | KÍ II(away) | 2-1 | 1. Deild |
| Aug 22, 2015 | NSÍ II(home) | 0-4 | 1. Deild |
| Aug 19, 2015 | Víkingur II(away) | 0-7 | 1. Deild |
| Aug 15, 2015 | B71(away) | 0-11 | 1. Deild |
What does the head-to-head say?
Across the last 2 meetings: 2 Skála wins, 0 draws, 0 MB wins.
| Date | Score | Competition |
|---|---|---|
| Jul 1, 2015 | MB 1-9 Skála | 1. Deild |
| May 9, 2015 | Skála 5-1 MB | 1. Deild |
How many goals should we expect?
Skála score 3.3 and concede 0.4 goals per match over their last 15; MB score 0.5 and concede 5.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skála | 3.3 | 0.4 | 9 | 6/15 | 10/15 |
| MB | 0.5 | 5.0 | 0 | 5/15 | 14/15 |
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 | Skála | 27 | 23 | 3 | 1 | 96 | 14 | 72 |
A question about Skála vs MB?
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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