MB vs Skála: result 1-9 and analysis
1. DeildRegular Season - 18Kick-off on July 1, 2015 at 05:30 PM (UTC)Við Kirkju, Miðvágur
Full time
What was the result of MB vs Skála?
Skála won 1-9 on July 1, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MB have 0 wins, 2 draws and 13 defeats; Skála have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2015 | 07 Vestur(away) | 0-4 | 1. Deild |
| Jun 20, 2015 | B36 II(away) | 2-3 | 1. Deild |
| Jun 14, 2015 | KÍ II(home) | 0-8 | 1. Deild |
| Jun 10, 2015 | NSÍ II(away) | 0-3 | 1. Deild |
| Jun 5, 2015 | Víkingur II(home) | 0-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2015 | NSÍ II(home) | 3-0 | 1. Deild |
| Jun 20, 2015 | B71(home) | 3-0 | 1. Deild |
| Jun 14, 2015 | AB II(away) | 1-0 | 1. Deild |
| Jun 10, 2015 | B68(home) | 3-1 | 1. Deild |
| Jun 6, 2015 | 07 Vestur(away) | 1-1 | 1. Deild |
What does the head-to-head say?
In the last meeting: 0 MB wins, 0 draws, 1 Skála win.
| Date | Score | Competition |
|---|---|---|
| May 9, 2015 | Skála 5-1 MB | 1. Deild |
How many goals should we expect?
MB score 0.6 and concede 3.6 goals per match over their last 15; Skála score 2.7 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MB | 0.6 | 3.6 | 0 | 6/15 | 12/15 |
| Skála | 2.7 | 0.6 | 7 | 7/15 | 10/15 |
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 MB 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