B68 vs Víkingur II: result 2-1 and analysis
1. DeildRegular Season - 5Kick-off on April 11, 2015 at 01:00 PM (UTC)Svangaskarð (graslíkisvøllur), Toftir, Eysturoy
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What was the result of B68 vs Víkingur II?
B68 won 2-1 on April 11, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B68 have 5 wins, 3 draws and 7 defeats; Víkingur II have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2015 | MB(home) | 2-0 | 1. Deild |
| Mar 21, 2015 | NSÍ II(away) | 3-0 | 1. Deild |
| Mar 14, 2015 | B36 II(away) | 0-0 | 1. Deild |
| Mar 7, 2015 | KÍ II(home) | 4-1 | 1. Deild |
| Oct 25, 2014 | Vikingur Gota(away) | 1-3 | Meistaradeildin |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2015 | B36 II(home) | 1-1 | 1. Deild |
| Mar 21, 2015 | B71(home) | 1-1 | 1. Deild |
| Mar 14, 2015 | MB(away) | 3-0 | 1. Deild |
| Mar 7, 2015 | Skála(away) | 1-3 | 1. Deild |
| Oct 4, 2014 | B36 II(home) | 2-0 | 1. Deild |
What does the head-to-head say?
Across the last 3 meetings: 1 B68 win, 1 draw, 1 Víkingur II win.
| Date | Score | Competition |
|---|---|---|
| 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?
B68 score 1.1 and concede 1.4 goals per match over their last 15; Víkingur II score 1.4 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B68 | 1.1 | 1.4 | 5 | 7/15 | 9/15 |
| Víkingur II | 1.4 | 1.4 | 3 | 11/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Víkingur II | 24 | 17 | 3 | 4 | 61 | 39 | 54 |
A question about B68 vs Víkingur II?
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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