HB II vs KÍ II: result 5-2 and analysis
1. DeildRegular Season - 9Kick-off on May 11, 2013 at 02:00 PM (UTC)Gundadalur, Tórshavn, Streymoy
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What was the result of HB II vs KÍ II?
HB II won 5-2 on May 11, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, HB II have 10 wins, 2 draws and 3 defeats; KÍ II have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2013 | B71(away) | 6-0 | 1. Deild |
| Apr 27, 2013 | TB II(home) | 3-1 | 1. Deild |
| Apr 20, 2013 | B68(away) | 0-0 | 1. Deild |
| Apr 17, 2013 | EB / Streymur II(home) | 3-0 | 1. Deild |
| Apr 6, 2013 | Skála(home) | 3-4 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2013 | TB II(home) | 0-1 | 1. Deild |
| Apr 27, 2013 | B68(home) | 2-2 | 1. Deild |
| Apr 20, 2013 | Skála(away) | 1-2 | 1. Deild |
| Apr 17, 2013 | B71(home) | 6-0 | 1. Deild |
| Apr 13, 2013 | Víkingur II(home) | 3-1 | 1. Deild |
What does the head-to-head say?
Across the last 3 meetings: 3 HB II wins, 0 draws, 0 KÍ II wins.
| Date | Score | Competition |
|---|---|---|
| Aug 22, 2012 | KÍ II 1-3 HB II | 1. Deild |
| Jun 9, 2012 | HB II 2-1 KÍ II | 1. Deild |
| May 6, 2012 | KÍ II 1-2 HB II | 1. Deild |
How many goals should we expect?
HB II score 2.9 and concede 1.1 goals per match over their last 15; KÍ II score 2.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| HB II | 2.9 | 1.1 | 4 | 10/15 | 13/15 |
| KÍ II | 2.0 | 1.3 | 4 | 7/15 | 11/15 |
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 HB II vs KÍ II?
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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