B68 II vs Skála: result 1-1 and analysis
1. DeildRegular Season - 10Kick-off on May 26, 2012 at 04:00 PM (UTC)Svangaskarð (graslíkisvøllur), Toftir, Eysturoy
Full time
What was the result of B68 II vs Skála?
B68 II and Skála drew 1-1 on May 26, 2012.
What is the recent form of both teams?
Over their last 9 matches in all competitions, B68 II have 3 wins, 1 draw and 5 defeats; Skála have 3, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2012 | EB / Streymur II(away) | 1-2 | 1. Deild |
| May 16, 2012 | NSÍ II(home) | 5-2 | 1. Deild |
| May 12, 2012 | HB II(home) | 2-1 | 1. Deild |
| May 4, 2012 | AB(away) | 0-4 | 1. Deild |
| Apr 28, 2012 | Víkingur II(home) | 0-3 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2012 | HB II(home) | 1-0 | 1. Deild |
| May 16, 2012 | Víkingur II(away) | 1-1 | 1. Deild |
| May 12, 2012 | 07 Vestur(home) | 2-2 | 1. Deild |
| May 6, 2012 | EB / Streymur II(home) | 2-0 | 1. Deild |
| Apr 29, 2012 | KÍ II(away) | 1-1 | 1. Deild |
What does the head-to-head say?
In the last meeting: 0 B68 II wins, 1 draw, 0 Skála wins.
| Date | Score | Competition |
|---|---|---|
| Apr 14, 2012 | Skála 2-2 B68 II | 1. Deild |
How many goals should we expect?
B68 II score 1.8 and concede 2.4 goals per match over their last 9; Skála score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B68 II | 1.8 | 2.4 | 0 | 6/9 | 8/9 |
| Skála | 1.4 | 1.3 | 3 | 6/9 | 4/9 |
Over the last 9 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 B68 II 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