HB II vs B71: result 3-1 and analysis
1. DeildRegular Season - 23Kick-off on September 1, 2012 at 02:00 PM (UTC)Gundadalur, Tórshavn, Streymoy
Full time
What was the result of HB II vs B71?
HB II won 3-1 on September 1, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, HB II have 8 wins, 3 draws and 4 defeats; B71 have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2012 | Skála(away) | 0-1 | 1. Deild |
| Aug 22, 2012 | KÍ II(away) | 3-1 | 1. Deild |
| Aug 18, 2012 | 07 Vestur(home) | 0-0 | 1. Deild |
| Aug 13, 2012 | AB(away) | 2-0 | 1. Deild |
| Aug 4, 2012 | Skála(home) | 2-3 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2012 | KÍ II(home) | 0-3 | 1. Deild |
| Aug 22, 2012 | NSÍ II(home) | 3-0 | 1. Deild |
| Aug 18, 2012 | B68 II(away) | 3-0 | 1. Deild |
| Aug 13, 2012 | Víkingur II(home) | 2-2 | 1. Deild |
| Aug 4, 2012 | KÍ II(away) | 4-5 | 1. Deild |
What does the head-to-head say?
Across the last 2 meetings: 0 HB II wins, 1 draw, 1 B71 win.
| Date | Score | Competition |
|---|---|---|
| Jun 16, 2012 | B71 2-1 HB II | 1. Deild |
| May 24, 2012 | HB II 1-1 B71 | 1. Deild |
How many goals should we expect?
HB II score 1.6 and concede 0.9 goals per match over their last 15; B71 score 1.9 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| HB II | 1.6 | 0.9 | 6 | 7/15 | 7/15 |
| B71 | 1.9 | 2.2 | 3 | 8/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
HB II sit 9th in 1. Deild (22 points from 25 matches) and B71 sit 1st (60 points from 25 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | B71 | 25 | 19 | 3 | 3 | 78 | 27 | 60 |
| 9 | HB II | 25 | 5 | 7 | 13 | 33 | 45 | 22 |
A question about HB II vs B71?
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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