HB II vs Skála II: result 2-2 and analysis
1. DeildRegular Season - 18Kick-off on August 11, 2018 at 02:00 PM (UTC)Gundadalur, Tórshavn, Streymoy
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What was the result of HB II vs Skála II?
HB II and Skála II drew 2-2 on August 11, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, HB II have 4 wins, 3 draws and 8 defeats; Skála 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 |
|---|---|---|---|
| Aug 4, 2018 | B71(away) | 2-0 | 1. Deild |
| Jun 29, 2018 | NSÍ II(home) | 3-3 | 1. Deild |
| Jun 23, 2018 | Víkingur II(home) | 2-0 | 1. Deild |
| Jun 16, 2018 | B68(away) | 1-2 | 1. Deild |
| Jun 2, 2018 | Giza / Hoyvík(home) | 0-0 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2018 | Giza / Hoyvík(away) | 2-2 | 1. Deild |
| Jun 30, 2018 | Víkingur II(away) | 2-1 | 1. Deild |
| Jun 23, 2018 | B68(home) | 3-0 | 1. Deild |
| Jun 13, 2018 | NSÍ II(home) | 5-2 | 1. Deild |
| Jun 2, 2018 | B71(home) | 3-4 | 1. Deild |
What does the head-to-head say?
In the last meeting: 1 HB II win, 0 draws, 0 Skála II wins.
| Date | Score | Competition |
|---|---|---|
| Mar 21, 2018 | Skála II 0-1 HB II | 1. Deild |
How many goals should we expect?
HB II score 1.7 and concede 1.5 goals per match over their last 15; Skála II score 1.5 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| HB II | 1.7 | 1.5 | 3 | 10/15 | 10/15 |
| Skála II | 1.5 | 2.3 | 2 | 10/15 | 12/15 |
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 | 27 | 6 | 7 | 14 | 35 | 51 | 25 |
A question about HB II vs Skála 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