NSÍ II vs B68: result 2-2 and analysis
1. DeildRegular Season - 20Kick-off on August 8, 2015 at 12:00 PM (UTC)við Løkin, Runavík, Eysturoy
Full time
What was the result of NSÍ II vs B68?
NSÍ II and B68 drew 2-2 on August 8, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, NSÍ II have 5 wins, 1 draw and 9 defeats; B68 have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2015 | Skála(away) | 0-3 | 1. Deild |
| Jun 20, 2015 | KÍ II(away) | 1-5 | 1. Deild |
| Jun 10, 2015 | MB(home) | 3-0 | 1. Deild |
| Jun 6, 2015 | B71(away) | 1-6 | 1. Deild |
| May 30, 2015 | AB II(home) | 1-2 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 4, 2015 | MB(home) | 3-0 | 1. Deild |
| Jul 1, 2015 | AB II(away) | 2-4 | 1. Deild |
| Jun 27, 2015 | B71(home) | 6-1 | 1. Deild |
| Jun 20, 2015 | Víkingur II(away) | 1-0 | 1. Deild |
| Jun 14, 2015 | 07 Vestur(home) | 2-2 | 1. Deild |
What does the head-to-head say?
Across the last 2 meetings: 0 NSÍ II wins, 0 draws, 2 B68 wins.
| Date | Score | Competition |
|---|---|---|
| May 23, 2015 | B68 2-1 NSÍ II | 1. Deild |
| Mar 21, 2015 | NSÍ II 0-3 B68 | 1. Deild |
How many goals should we expect?
NSÍ II score 1.6 and concede 1.8 goals per match over their last 15; B68 score 2.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NSÍ II | 1.6 | 1.8 | 5 | 7/15 | 11/15 |
| B68 | 2.2 | 1.3 | 5 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | NSÍ II | 25 | 7 | 5 | 13 | 36 | 57 | 26 |
A question about NSÍ II vs B68?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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