AB II vs HB II: result 3-2 and analysis
1. DeildRegular Season - 25Kick-off on September 20, 2014 at 02:30 PM (UTC)Blue Water Arena, Esbjerg
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What was the result of AB II vs HB II?
AB II won 3-2 on September 20, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, AB II have 5 wins, 5 draws and 5 defeats; HB II have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2014 | B36 II(away) | 0-0 | 1. Deild |
| Aug 23, 2014 | EB / Streymur II(away) | 5-2 | 1. Deild |
| Aug 16, 2014 | KÍ II(home) | 0-4 | 1. Deild |
| Aug 13, 2014 | Víkingur II(away) | 2-2 | 1. Deild |
| Aug 9, 2014 | Suduroy(home) | 0-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2014 | TB(home) | 3-1 | 1. Deild |
| Aug 23, 2014 | Suduroy(home) | 1-0 | 1. Deild |
| Aug 16, 2014 | B36 II(home) | 2-0 | 1. Deild |
| Aug 13, 2014 | NSÍ II(home) | 2-2 | 1. Deild |
| Aug 6, 2014 | 07 Vestur(away) | 2-1 | 1. Deild |
What does the head-to-head say?
Across the last 2 meetings: 1 AB II win, 0 draws, 1 HB II win.
| Date | Score | Competition |
|---|---|---|
| May 24, 2014 | HB II 2-1 AB II | 1. Deild |
| Mar 23, 2014 | AB II 4-0 HB II | 1. Deild |
How many goals should we expect?
AB II score 2.1 and concede 1.9 goals per match over their last 15; HB II score 1.5 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AB II | 2.1 | 1.9 | 3 | 8/15 | 12/15 |
| HB II | 1.5 | 2.3 | 3 | 10/15 | 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 | 26 | 6 | 7 | 13 | 35 | 45 | 25 |
A question about AB II 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