B36 II vs KÍ II: result 1-2 and analysis
1. DeildRegular Season - 14Kick-off on June 24, 2017 at 02:30 PM (UTC)Gundadalur, Tórshavn, Streymoy
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What was the result of B36 II vs KÍ II?
KÍ II won 1-2 on June 24, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B36 II have 3 wins, 3 draws and 9 defeats; KÍ II have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2017 | B68(away) | 2-5 | 1. Deild |
| Jun 13, 2017 | AB(home) | 1-1 | 1. Deild |
| Jun 2, 2017 | Giza / Hoyvík(away) | 1-1 | 1. Deild |
| May 27, 2017 | Suduroy(home) | 3-2 | 1. Deild |
| May 20, 2017 | ÍF II(home) | 5-0 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2017 | HB II(home) | 6-0 | 1. Deild |
| Jun 13, 2017 | Víkingur II(away) | 0-0 | 1. Deild |
| Jun 1, 2017 | ÍF II(home) | 7-0 | 1. Deild |
| May 27, 2017 | B68(home) | 1-1 | 1. Deild |
| May 20, 2017 | Giza / Hoyvík(away) | 0-0 | 1. Deild |
What does the head-to-head say?
Across the last 6 meetings: 0 B36 II win(s), 1 draw(s), 5 KÍ II win(s).
| Date | Score | Competition |
|---|---|---|
| May 12, 2017 | KÍ II 4-1 B36 II | 1. Deild |
| Sep 26, 2015 | KÍ II 4-1 B36 II | 1. Deild |
| Jun 27, 2015 | B36 II 0-1 KÍ II | 1. Deild |
| Apr 25, 2015 | KÍ II 5-0 B36 II | 1. Deild |
| Aug 2, 2014 | B36 II 2-3 KÍ II | 1. Deild |
| May 17, 2014 | KÍ II 1-1 B36 II | 1. Deild |
How many goals should we expect?
B36 II score 1.9 and concede 2.5 goals per match over their last 15; KÍ II score 2.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B36 II | 1.9 | 2.5 | 2 | 12/15 | 12/15 |
| KÍ II | 2.7 | 1.2 | 5 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | B36 II | 20 | 7 | 2 | 11 | 37 | 49 | 23 |
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