MB vs Víkingur II: result 0-1 and analysis
1. DeildRegular Season - 13Kick-off on June 5, 2015 at 02:00 PM (UTC)Við Kirkju, Miðvágur
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What was the result of MB vs Víkingur II?
Víkingur II won 0-1 on June 5, 2015.
What is the recent form of both teams?
Over their last 12 matches in all competitions, MB have 0 wins, 2 draws and 10 defeats; Víkingur II have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2015 | B71(home) | 2-2 | 1. Deild |
| May 23, 2015 | AB II(away) | 0-3 | 1. Deild |
| May 16, 2015 | B68(home) | 1-1 | 1. Deild |
| May 9, 2015 | Skála(away) | 1-5 | 1. Deild |
| May 2, 2015 | NSÍ II(home) | 0-5 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 9, 2015 | KÍ II(away) | 0-1 | 1. Deild |
| May 2, 2015 | 07 Vestur(home) | 0-2 | 1. Deild |
What does the head-to-head say?
In the last meeting: 0 MB wins, 0 draws, 1 Víkingur II win.
| Date | Score | Competition |
|---|---|---|
| Mar 14, 2015 | MB 0-3 Víkingur II | 1. Deild |
How many goals should we expect?
MB score 0.7 and concede 3.5 goals per match over their last 12; Víkingur II score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MB | 0.7 | 3.5 | 0 | 6/12 | 10/12 |
| Víkingur II | 1.1 | 1.5 | 2 | 9/15 | 6/15 |
Over the last 12 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 MB vs Víkingur 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