B36 II vs HB II: result 0-1 and analysis
1. DeildRegular Season - 12Kick-off on May 25, 2013 at 02:00 PM (UTC)Gundadalur, Tórshavn, Streymoy
Full time
What was the result of B36 II vs HB II?
HB II won 0-1 on May 25, 2013.
What is the recent form of both teams?
Over their last 11 matches in all competitions, B36 II have 5 wins, 3 draws and 3 defeats; HB II have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2013 | B68(away) | 0-0 | 1. Deild |
| May 15, 2013 | Skála(home) | 3-2 | 1. Deild |
| May 12, 2013 | TB II(away) | 2-1 | 1. Deild |
| May 9, 2013 | Suduroy(home) | 5-1 | 1. Deild |
| Apr 27, 2013 | Víkingur II(away) | 1-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2013 | Víkingur II(home) | 3-2 | 1. Deild |
| May 15, 2013 | EB / Streymur II(away) | 2-2 | 1. Deild |
| May 11, 2013 | KÍ II(home) | 5-2 | 1. Deild |
| May 4, 2013 | B71(away) | 6-0 | 1. Deild |
| Apr 27, 2013 | TB II(home) | 3-1 | 1. Deild |
What does the head-to-head say?
Across the last 1 meetings: 0 B36 II win(s), 0 draw(s), 1 HB II win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 20, 2013 | HB II 4-1 B36 II | 1. Deild |
How many goals should we expect?
B36 II score 2.3 and concede 1.7 goals per match over their last 11; HB II score 3.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B36 II | 2.3 | 1.7 | 1 | 10/11 | 9/11 |
| HB II | 3.1 | 1.3 | 4 | 11/15 | 14/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
B36 II sit 6th in 1. Deild (23 points from 20 matches) and HB II sit 8th (20 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | B36 II | 20 | 7 | 2 | 11 | 37 | 49 | 23 |
| 8 | HB II | 20 | 5 | 5 | 10 | 25 | 32 | 20 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy