NSÍ II vs MB: result 3-0 and analysis
1. DeildRegular Season - 14Kick-off on June 10, 2015 at 05:30 PM (UTC)við Løkin, Runavík, Eysturoy
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What was the result of NSÍ II vs MB?
NSÍ II won 3-0 on June 10, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, NSÍ II have 4 wins, 1 draw and 10 defeats; MB have 0, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 6, 2015 | B71(away) | 1-6 | 1. Deild |
| May 30, 2015 | AB II(home) | 1-2 | 1. Deild |
| May 23, 2015 | B68(away) | 1-2 | 1. Deild |
| May 16, 2015 | 07 Vestur(home) | 1-1 | 1. Deild |
| May 9, 2015 | B36 II(away) | 5-0 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2015 | Víkingur II(home) | 0-1 | 1. Deild |
| 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 |
What does the head-to-head say?
In the last meeting: 1 NSÍ II win, 0 draws, 0 MB wins.
| Date | Score | Competition |
|---|---|---|
| May 2, 2015 | MB 0-5 NSÍ II | 1. Deild |
How many goals should we expect?
NSÍ II score 1.6 and concede 1.9 goals per match over their last 15; MB score 0.6 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NSÍ II | 1.6 | 1.9 | 4 | 9/15 | 11/15 |
| MB | 0.6 | 3.3 | 0 | 6/13 | 10/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | NSÍ II | 25 | 7 | 5 | 13 | 36 | 57 | 26 |
A question about NSÍ II vs MB?
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