HB II vs Skála II: result 4-1 and analysis
1. DeildRegular Season - 11Kick-off on May 25, 2019 at 01:00 PM (UTC)Gundadalur, Tórshavn, Streymoy
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What was the result of HB II vs Skála II?
HB II won 4-1 on May 25, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, HB II have 2 wins, 3 draws and 10 defeats; Skála II have 4, 9 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2019 | NSÍ II(home) | 0-1 | 1. Deild |
| May 11, 2019 | 07 Vestur(away) | 2-3 | 1. Deild |
| May 4, 2019 | Skála II(away) | 1-1 | 1. Deild |
| Apr 27, 2019 | Víkingur II(home) | 0-2 | 1. Deild |
| Apr 20, 2019 | EB / Streymur II(away) | 2-2 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2019 | B68(home) | 1-1 | 1. Deild |
| May 11, 2019 | Víkingur II(away) | 2-2 | 1. Deild |
| May 4, 2019 | HB II(home) | 1-1 | 1. Deild |
| Apr 27, 2019 | NSÍ II(home) | 2-2 | 1. Deild |
| Apr 20, 2019 | B36 II(away) | 4-0 | 1. Deild |
What does the head-to-head say?
Across the last 4 meetings: 1 HB II win(s), 2 draw(s), 1 Skála II win(s).
| Date | Score | Competition |
|---|---|---|
| May 4, 2019 | Skála II 1-1 HB II | 1. Deild |
| Sep 22, 2018 | Skála II 4-3 HB II | 1. Deild |
| Aug 11, 2018 | HB II 2-2 Skála II | 1. Deild |
| Mar 21, 2018 | Skála II 0-1 HB II | 1. Deild |
How many goals should we expect?
HB II score 1.2 and concede 2.1 goals per match over their last 15; Skála II score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| HB II | 1.2 | 2.1 | 1 | 9/15 | 8/15 |
| Skála II | 1.7 | 1.5 | 2 | 12/15 | 9/15 |
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