NSÍ II vs B36 II: result 0-2 and analysis
1. DeildRegular Season - 17Kick-off on June 28, 2014 at 02:00 PM (UTC)við Løkin, Runavík, Eysturoy
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What was the result of NSÍ II vs B36 II?
B36 II won 0-2 on June 28, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, NSÍ II have 8 wins, 2 draws and 5 defeats; B36 II have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2014 | AB II(away) | 3-3 | 1. Deild |
| Jun 20, 2014 | EB / Streymur II(away) | 4-0 | 1. Deild |
| Jun 14, 2014 | Suduroy(home) | 2-4 | 1. Deild |
| Jun 11, 2014 | HB II(home) | 7-1 | 1. Deild |
| Jun 7, 2014 | KÍ II(away) | 5-0 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 21, 2014 | HB II(home) | 5-1 | 1. Deild |
| Jun 14, 2014 | Víkingur II(home) | 3-3 | 1. Deild |
| Jun 11, 2014 | 07 Vestur(away) | 0-2 | 1. Deild |
| Jun 7, 2014 | TB(home) | 0-3 | 1. Deild |
| May 31, 2014 | AB II(away) | 2-2 | 1. Deild |
What does the head-to-head say?
Across the last 1 meetings: 0 NSÍ II win(s), 0 draw(s), 1 B36 II win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 25, 2014 | B36 II 2-0 NSÍ II | 1. Deild |
How many goals should we expect?
NSÍ II score 2.7 and concede 1.7 goals per match over their last 15; B36 II score 2.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NSÍ II | 2.7 | 1.7 | 2 | 10/15 | 11/15 |
| B36 II | 2.5 | 1.7 | 2 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
NSÍ II sit 7th in 1. Deild (22 points from 20 matches) and B36 II sit 6th (23 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | B36 II | 20 | 7 | 2 | 11 | 37 | 49 | 23 |
| 7 | NSÍ II | 20 | 6 | 4 | 10 | 26 | 42 | 22 |
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