KÍ II vs B71: result 3-1 and analysis
1. DeildRegular Season - 3Kick-off on April 2, 2016 at 02:00 PM (UTC)Við Djúpumýrar, Klaksvík, Borðoy
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What was the result of KÍ II vs B71?
KÍ II won 3-1 on April 2, 2016.
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 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2016 | AB II(away) | 2-3 | 1. Deild |
| Mar 12, 2016 | 07 Vestur(home) | 0-2 | 1. Deild |
| Sep 26, 2015 | B36 II(home) | 4-1 | 1. Deild |
| Sep 19, 2015 | Víkingur II(away) | 2-2 | 1. Deild |
| Sep 12, 2015 | NSÍ II(away) | 5-5 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2016 | EB / Streymur(home) | 1-7 | 1. Deild |
| Mar 12, 2016 | Suduroy(away) | 0-4 | 1. Deild |
| Sep 26, 2015 | B68(home) | 2-6 | 1. Deild |
| Sep 19, 2015 | 07 Vestur(away) | 1-4 | 1. Deild |
| Sep 12, 2015 | Skála(home) | 0-5 | 1. Deild |
What does the head-to-head say?
Across the last 6 meetings: 4 KÍ II win(s), 0 draw(s), 2 B71 win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 22, 2015 | B71 2-1 KÍ II | 1. Deild |
| Jun 10, 2015 | KÍ II 6-0 B71 | 1. Deild |
| May 2, 2015 | B71 1-0 KÍ II | 1. Deild |
| Aug 6, 2013 | KÍ II 6-1 B71 | 1. Deild |
| May 15, 2013 | B71 1-3 KÍ II | 1. Deild |
| Apr 17, 2013 | KÍ II 6-0 B71 | 1. Deild |
How many goals should we expect?
KÍ II score 2.3 and concede 1.7 goals per match over their last 15; B71 score 1.6 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KÍ II | 2.3 | 1.7 | 2 | 10/15 | 11/15 |
| B71 | 1.6 | 3.1 | 3 | 7/15 | 13/15 |
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 | 20 | 16 | 2 | 2 | 63 | 18 | 50 |
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