AB vs HB II: result 0-2 and analysis
1. DeildRegular Season - 19Kick-off on August 13, 2012 at 06:00 PM (UTC)Skansi Arena, Argir, Streymoy
Full time
What was the result of AB vs HB II?
HB II won 0-2 on August 13, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, AB have 10 wins, 1 draw and 4 defeats; HB II have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2012 | 07 Vestur(away) | 1-2 | 1. Deild |
| Aug 1, 2012 | EB / Streymur II(away) | 0-0 | 1. Deild |
| Jun 29, 2012 | B71(home) | 7-0 | 1. Deild |
| Jun 26, 2012 | Skála(away) | 0-1 | 1. Deild |
| Jun 23, 2012 | NSÍ II(home) | 6-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2012 | Skála(home) | 2-3 | 1. Deild |
| Aug 1, 2012 | NSÍ II(away) | 2-2 | 1. Deild |
| Jun 29, 2012 | B68 II(home) | 3-2 | 1. Deild |
| Jun 26, 2012 | Víkingur II(away) | 1-0 | 1. Deild |
| Jun 23, 2012 | EB / Streymur II(home) | 4-0 | 1. Deild |
What does the head-to-head say?
Across the last 2 meetings: 1 AB win, 0 draws, 1 HB II win.
| Date | Score | Competition |
|---|---|---|
| May 26, 2012 | HB II 1-0 AB | 1. Deild |
| Apr 14, 2012 | AB 4-1 HB II | 1. Deild |
How many goals should we expect?
AB score 3.4 and concede 1.0 goals per match over their last 15; HB II score 1.8 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AB | 3.4 | 1.0 | 6 | 7/15 | 11/15 |
| HB II | 1.8 | 1.2 | 5 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | HB II | 25 | 5 | 7 | 13 | 33 | 45 | 22 |
A question about AB vs HB II?
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