KÍ II vs Skála II: result 1-0 and analysis
1. DeildRegular Season - 11Kick-off on May 19, 2018 at 12:00 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 May 19, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KÍ II have 12 wins, 1 draw and 2 defeats; Skála II have 2, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2018 | HB II(home) | 2-1 | 1. Deild |
| May 5, 2018 | Víkingur II(away) | 1-0 | 1. Deild |
| Apr 28, 2018 | B68(home) | 2-0 | 1. Deild |
| Apr 21, 2018 | Skála II(away) | 2-1 | 1. Deild |
| Apr 14, 2018 | Giza / Hoyvík(away) | 3-0 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2018 | TB / FCS / Royn II(home) | 2-2 | 1. Deild |
| May 5, 2018 | B71(away) | 0-1 | 1. Deild |
| Apr 28, 2018 | Giza / Hoyvík(home) | 1-0 | 1. Deild |
| Apr 21, 2018 | KÍ II(home) | 1-2 | 1. Deild |
| Apr 14, 2018 | NSÍ II(away) | 1-3 | 1. Deild |
What does the head-to-head say?
In the last meeting: 1 KÍ II win, 0 draws, 0 Skála II wins.
| Date | Score | Competition |
|---|---|---|
| Apr 21, 2018 | Skála II 1-2 KÍ II | 1. Deild |
How many goals should we expect?
KÍ II score 2.6 and concede 1.0 goals per match over their last 15; Skála II score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KÍ II | 2.6 | 1.0 | 5 | 10/15 | 12/15 |
| Skála II | 1.3 | 1.9 | 1 | 7/10 | 7/10 |
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 |
A question about KÍ II vs Skála II?
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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