KÍ II vs B71: result 5-4 and analysis
1. DeildRegular Season - 18Kick-off on August 4, 2012 at 02:00 PM (UTC)Injector Arena, Klaksvík, Borðoy
Full time
What was the result of KÍ II vs B71?
KÍ II won 5-4 on August 4, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KÍ II have 5 wins, 2 draws and 8 defeats; B71 have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 1, 2012 | Skála(away) | 2-2 | 1. Deild |
| Jun 30, 2012 | NSÍ II(home) | 1-2 | 1. Deild |
| Jun 26, 2012 | B68 II(away) | 2-1 | 1. Deild |
| Jun 23, 2012 | Víkingur II(home) | 4-2 | 1. Deild |
| Jun 17, 2012 | AB(away) | 1-6 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 1, 2012 | 07 Vestur(home) | 0-2 | 1. Deild |
| Jun 29, 2012 | AB(away) | 0-7 | 1. Deild |
| Jun 26, 2012 | EB / Streymur II(away) | 1-3 | 1. Deild |
| Jun 23, 2012 | Skála(home) | 2-4 | 1. Deild |
| Jun 16, 2012 | HB II(home) | 2-1 | 1. Deild |
What does the head-to-head say?
In the last meeting: 0 KÍ II wins, 0 draws, 1 B71 win.
| Date | Score | Competition |
|---|---|---|
| May 19, 2012 | B71 4-2 KÍ II | 1. Deild |
How many goals should we expect?
KÍ II score 1.8 and concede 2.4 goals per match over their last 15; B71 score 1.8 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KÍ II | 1.8 | 2.4 | 2 | 11/15 | 12/15 |
| B71 | 1.8 | 2.9 | 2 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | B71 | 25 | 19 | 3 | 3 | 78 | 27 | 60 |
A question about KÍ II vs B71?
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