07 Vestur vs B36 II: result 2-0 and analysis
1. DeildRegular Season - 14Kick-off on June 11, 2014 at 06:00 PM (UTC)á Dungasandi, Sørvágur, Vágar
Full time
What was the result of 07 Vestur vs B36 II?
07 Vestur won 2-0 on June 11, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, 07 Vestur have 6 wins, 1 draw and 8 defeats; B36 II have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 7, 2014 | HB II(away) | 4-0 | 1. Deild |
| May 31, 2014 | NSÍ II(away) | 2-4 | 1. Deild |
| May 24, 2014 | TB(home) | 0-2 | 1. Deild |
| May 17, 2014 | AB II(away) | 0-3 | 1. Deild |
| May 10, 2014 | KÍ II(home) | 2-0 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 7, 2014 | TB(home) | 0-3 | 1. Deild |
| May 31, 2014 | AB II(away) | 2-2 | 1. Deild |
| May 23, 2014 | EB / Streymur II(home) | 3-3 | 1. Deild |
| May 17, 2014 | KÍ II(away) | 1-1 | 1. Deild |
| May 10, 2014 | Suduroy(home) | 0-3 | 1. Deild |
What does the head-to-head say?
In the last meeting: 0 07 Vestur wins, 0 draws, 1 B36 II win.
| Date | Score | Competition |
|---|---|---|
| Apr 9, 2014 | B36 II 5-2 07 Vestur | 1. Deild |
How many goals should we expect?
07 Vestur score 1.3 and concede 2.1 goals per match over their last 15; B36 II score 2.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| 07 Vestur | 1.3 | 2.1 | 5 | 5/15 | 8/15 |
| B36 II | 2.4 | 1.3 | 5 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | B36 II | 25 | 10 | 2 | 13 | 53 | 63 | 32 |
A question about 07 Vestur vs B36 II?
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