B36 II vs B68: result 0-0 and analysis
1. DeildRegular Season - 2Kick-off on March 14, 2015 at 03:00 PM (UTC)Gundadalur, Tórshavn, Streymoy
Full time
What was the result of B36 II vs B68?
B36 II and B68 drew 0-0 on March 14, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B36 II have 3 wins, 3 draws and 9 defeats; B68 have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 8, 2015 | 07 Vestur(away) | 1-6 | 1. Deild |
| Oct 4, 2014 | Víkingur II(away) | 0-2 | 1. Deild |
| Sep 27, 2014 | Suduroy(home) | 1-5 | 1. Deild |
| Sep 20, 2014 | EB / Streymur II(away) | 2-2 | 1. Deild |
| Sep 13, 2014 | AB II(home) | 0-0 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 7, 2015 | KÍ II(home) | 4-1 | 1. Deild |
| Oct 25, 2014 | Vikingur Gota(away) | 1-3 | Meistaradeildin |
| Oct 19, 2014 | B36 Torshavn(home) | 1-3 | Meistaradeildin |
| Oct 5, 2014 | Skála(away) | 1-1 | Meistaradeildin |
| Oct 1, 2014 | AB(home) | 1-2 | Meistaradeildin |
What does the head-to-head say?
Across the last 3 meetings: 0 B36 II wins, 1 draw, 2 B68 wins.
| Date | Score | Competition |
|---|---|---|
| Aug 10, 2013 | B36 II 0-1 B68 | 1. Deild |
| May 18, 2013 | B68 0-0 B36 II | 1. Deild |
| Mar 23, 2013 | B36 II 1-3 B68 | 1. Deild |
How many goals should we expect?
B36 II score 1.6 and concede 2.5 goals per match over their last 15; B68 score 1.0 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B36 II | 1.6 | 2.5 | 3 | 9/15 | 10/15 |
| B68 | 1.0 | 2.2 | 2 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | B36 II | 25 | 10 | 2 | 13 | 53 | 63 | 32 |
A question about B36 II vs B68?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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