B68 vs KÍ II: result 4-1 and analysis
1. DeildRegular Season - 1Kick-off on March 7, 2015 at 02:00 PM (UTC)Svangaskarð (graslíkisvøllur), Toftir, Eysturoy
Full time
What was the result of B68 vs KÍ II?
B68 won 4-1 on March 7, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B68 have 2 wins, 2 draws and 11 defeats; KÍ II have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2014 | Vikingur Gota(away) | 1-3 | Meistaradeildin |
| Oct 19, 2014 | B36 Torshavn(home) | 1-3 | Meistaradeildin |
| Oct 5, 2014 | Skála(away) | 1-1 | Meistaradeildin |
| Oct 1, 2014 | AB(home) | 1-2 | Meistaradeildin |
| Sep 21, 2014 | KI Klaksvik(home) | 1-0 | Meistaradeildin |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2014 | HB II(home) | 4-2 | 1. Deild |
| Sep 27, 2014 | 07 Vestur(away) | 2-1 | 1. Deild |
| Sep 20, 2014 | Suduroy(home) | 1-1 | 1. Deild |
| Sep 13, 2014 | Víkingur II(away) | 1-2 | 1. Deild |
| Aug 23, 2014 | TB(away) | 1-7 | 1. Deild |
What does the head-to-head say?
Across the last 3 meetings: 1 B68 win, 1 draw, 1 KÍ II win.
| Date | Score | Competition |
|---|---|---|
| Sep 21, 2013 | KÍ II 0-2 B68 | 1. Deild |
| Jun 22, 2013 | B68 3-4 KÍ II | 1. Deild |
| Apr 27, 2013 | KÍ II 2-2 B68 | 1. Deild |
How many goals should we expect?
B68 score 0.7 and concede 2.3 goals per match over their last 15; KÍ II score 1.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B68 | 0.7 | 2.3 | 2 | 8/15 | 11/15 |
| KÍ II | 1.9 | 2.1 | 3 | 10/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | KÍ II | 27 | 8 | 2 | 17 | 34 | 61 | 26 |
A question about B68 vs KÍ II?
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