KÍ II vs B36 II: result 4-1 and analysis
1. DeildRegular Season - 8Kick-off on May 12, 2017 at 02:00 PM (UTC)Við Djúpumýrar, Klaksvík, Borðoy
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What was the result of KÍ II vs B36 II?
KÍ II won 4-1 on May 12, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KÍ II have 7 wins, 2 draws and 6 defeats; B36 II have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2017 | Suduroy(home) | 5-2 | 1. Deild |
| May 1, 2017 | NSÍ II(away) | 2-1 | 1. Deild |
| Apr 22, 2017 | AB(home) | 3-1 | 1. Deild |
| Apr 15, 2017 | B68(away) | 0-1 | 1. Deild |
| Apr 8, 2017 | ÍF II(away) | 4-2 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2017 | HB II(away) | 0-4 | 1. Deild |
| Apr 29, 2017 | Víkingur II(home) | 5-0 | 1. Deild |
| Apr 22, 2017 | NSÍ II(home) | 1-2 | 1. Deild |
| Apr 15, 2017 | Suduroy(away) | 1-3 | 1. Deild |
| Apr 8, 2017 | Giza / Hoyvík(away) | 2-5 | 1. Deild |
What does the head-to-head say?
Across the last 6 meetings: 4 KÍ II win(s), 1 draw(s), 1 B36 II win(s).
| Date | Score | Competition |
|---|---|---|
| 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 |
| Mar 29, 2014 | B36 II 8-1 KÍ II | 1. Deild |
How many goals should we expect?
KÍ II score 2.4 and concede 2.6 goals per match over their last 15; B36 II score 1.9 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KÍ II | 2.4 | 2.6 | 1 | 13/15 | 12/15 |
| B36 II | 1.9 | 2.3 | 3 | 11/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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