HB II vs KÍ II: result 1-0 and analysis
1. DeildRegular Season - 27Kick-off on October 5, 2013 at 02:15 PM (UTC)Gundadalur, Tórshavn, Streymoy
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What was the result of HB II vs KÍ II?
HB II won 1-0 on October 5, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, HB II have 7 wins, 1 draws and 7 defeats; KÍ II have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2013 | B71(away) | 0-1 | 1. Deild |
| Sep 21, 2013 | TB II(home) | 7-2 | 1. Deild |
| Sep 13, 2013 | B68(away) | 1-3 | 1. Deild |
| Sep 1, 2013 | Skála(home) | 2-3 | 1. Deild |
| Aug 25, 2013 | Suduroy(away) | 1-3 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2013 | TB II(home) | 2-2 | 1. Deild |
| Sep 21, 2013 | B68(home) | 0-2 | 1. Deild |
| Sep 14, 2013 | Skála(away) | 1-2 | 1. Deild |
| Sep 1, 2013 | Suduroy(home) | 2-1 | 1. Deild |
| Aug 25, 2013 | B36 II(away) | 2-3 | 1. Deild |
What does the head-to-head say?
Across the last 5 meetings: 5 HB II win(s), 0 draw(s), 0 KÍ II win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 3, 2013 | KÍ II 2-4 HB II | 1. Deild |
| May 11, 2013 | HB II 5-2 KÍ II | 1. Deild |
| 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 2.0 and concede 1.8 goals per match over their last 15; KÍ II score 1.9 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| HB II | 2.0 | 1.8 | 3 | 10/15 | 12/15 |
| KÍ II | 1.9 | 2.5 | 0 | 11/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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