Víkingur II vs B68: result 0-1 and analysis
1. DeildRegular Season - 16Kick-off on June 20, 2015 at 01:00 PM (UTC)Sarpugerði, Norðragøta, Eysturoy
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What was the result of Víkingur II vs B68?
B68 won 0-1 on June 20, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Víkingur II have 4 wins, 4 draws and 7 defeats; B68 have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2015 | 07 Vestur(home) | 2-1 | 1. Deild |
| Jun 5, 2015 | MB(away) | 1-0 | 1. Deild |
| May 30, 2015 | Skála(home) | 1-1 | 1. Deild |
| May 23, 2015 | B71(away) | 1-3 | 1. Deild |
| May 16, 2015 | B36 II(home) | 1-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 14, 2015 | 07 Vestur(home) | 2-2 | 1. Deild |
| Jun 10, 2015 | Skála(away) | 1-3 | 1. Deild |
| Jun 6, 2015 | B36 II(home) | 7-0 | 1. Deild |
| May 30, 2015 | KÍ II(away) | 1-3 | 1. Deild |
| May 23, 2015 | NSÍ II(home) | 2-1 | 1. Deild |
What does the head-to-head say?
Across the last 4 meetings: 1 Víkingur II win(s), 1 draw(s), 2 B68 win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 11, 2015 | B68 2-1 Víkingur II | 1. Deild |
| Aug 6, 2013 | B68 2-2 Víkingur II | 1. Deild |
| May 15, 2013 | Víkingur II 3-2 B68 | 1. Deild |
| Apr 17, 2013 | B68 2-0 Víkingur II | 1. Deild |
How many goals should we expect?
Víkingur II score 1.0 and concede 1.3 goals per match over their last 15; B68 score 2.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Víkingur II | 1.0 | 1.3 | 3 | 8/15 | 5/15 |
| B68 | 2.0 | 1.0 | 6 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Víkingur II | 20 | 14 | 3 | 3 | 52 | 30 | 45 |
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