B68 vs HB II: result 2-1 and analysis
1. DeildRegular Season - 12Kick-off on June 1, 2019 at 02:00 PM (UTC)Svangaskarð (graslíkisvøllur), Toftir, Eysturoy
Full time
What was the result of B68 vs HB II?
B68 won 2-1 on June 1, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B68 have 4 wins, 5 draws and 6 defeats; HB II have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2019 | Víkingur II(away) | 1-3 | 1. Deild |
| May 18, 2019 | Skála II(away) | 1-1 | 1. Deild |
| May 11, 2019 | KÍ II(home) | 1-2 | 1. Deild |
| May 4, 2019 | Víkingur II(home) | 2-2 | 1. Deild |
| Apr 27, 2019 | B71(away) | 1-4 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2019 | Skála II(home) | 4-1 | 1. Deild |
| 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 |
What does the head-to-head say?
Across the last 6 meetings: 3 B68 win(s), 0 draw(s), 3 HB II win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 16, 2019 | HB II 2-3 B68 | 1. Deild |
| Sep 15, 2018 | HB II 3-1 B68 | 1. Deild |
| Jun 16, 2018 | B68 2-1 HB II | 1. Deild |
| Apr 14, 2018 | HB II 1-2 B68 | 1. Deild |
| Sep 9, 2017 | B68 0-2 HB II | 1. Deild |
| Jun 13, 2017 | HB II 3-2 B68 | 1. Deild |
How many goals should we expect?
B68 score 1.7 and concede 2.3 goals per match over their last 15; HB II score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B68 | 1.7 | 2.3 | 3 | 10/15 | 10/15 |
| HB II | 1.3 | 1.9 | 1 | 9/15 | 8/15 |
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