KÍ II vs Skála II: result 1-0 and analysis
1. DeildRegular Season - 18Kick-off on August 8, 2019 at 06:15 PM (UTC)Við Djúpumýrar, Klaksvík, Borðoy
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What was the result of KÍ II vs Skála II?
KÍ II won 1-0 on August 8, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KÍ II have 8 wins, 2 draws and 5 defeats; Skála II have 2, 8 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2019 | Víkingur II(home) | 1-2 | 1. Deild |
| Jul 26, 2019 | NSÍ II(away) | 0-1 | 1. Deild |
| Jul 20, 2019 | B36 II(home) | 4-1 | 1. Deild |
| Jun 20, 2019 | EB / Streymur II(away) | 5-2 | 1. Deild |
| Jun 15, 2019 | HB II(away) | 4-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2019 | B36 II(home) | 2-2 | 1. Deild |
| Jul 26, 2019 | 07 Vestur(away) | 0-5 | 1. Deild |
| Jun 27, 2019 | EB / Streymur II(home) | 0-1 | 1. Deild |
| Jun 21, 2019 | NSÍ II(away) | 1-0 | 1. Deild |
| Jun 13, 2019 | B71(home) | 1-1 | 1. Deild |
What does the head-to-head say?
Across the last 5 meetings: 3 KÍ II win(s), 1 draw(s), 1 Skála II win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 1, 2019 | Skála II 2-3 KÍ II | 1. Deild |
| Mar 16, 2019 | Skála II 1-1 KÍ II | 1. Deild |
| Aug 18, 2018 | Skála II 1-0 KÍ II | 1. Deild |
| May 19, 2018 | KÍ II 1-0 Skála II | 1. Deild |
| Apr 21, 2018 | Skála II 1-2 KÍ II | 1. Deild |
How many goals should we expect?
KÍ II score 2.9 and concede 1.8 goals per match over their last 15; Skála II score 1.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KÍ II | 2.9 | 1.8 | 1 | 13/15 | 13/15 |
| Skála II | 1.3 | 1.8 | 2 | 11/15 | 8/15 |
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 |
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