KÍ II vs Suduroy: result 0-2 and analysis
1. DeildRegular Season - 4Kick-off on April 6, 2013 at 02:15 PM (UTC)Injector Arena, Klaksvík, Borðoy
Full time
What was the result of KÍ II vs Suduroy?
Suduroy won 0-2 on April 6, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KÍ II have 8 wins, 1 draw and 6 defeats; Suduroy have 4, 0 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2013 | B36 II(away) | 1-2 | 1. Deild |
| Mar 23, 2013 | EB / Streymur II(away) | 1-0 | 1. Deild |
| Sep 21, 2012 | NSÍ II(away) | 2-1 | 1. Deild |
| Sep 15, 2012 | Skála(home) | 2-1 | 1. Deild |
| Sep 8, 2012 | Víkingur II(away) | 0-3 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2013 | HB II(home) | 2-1 | 1. Deild |
| Mar 23, 2013 | Skála(away) | 2-1 | 1. Deild |
| Mar 16, 2013 | B68(away) | 1-4 | 1. Deild |
| Oct 6, 2012 | KI Klaksvik(away) | 1-7 | Meistaradeildin |
| Sep 29, 2012 | ÍF II(home) | 1-4 | Meistaradeildin |
How many goals should we expect?
KÍ II score 2.1 and concede 1.5 goals per match over their last 15; Suduroy score 1.1 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KÍ II | 2.1 | 1.5 | 3 | 10/15 | 13/15 |
| Suduroy | 1.1 | 2.9 | 1 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Suduroy | 25 | 17 | 2 | 6 | 77 | 36 | 53 |
A question about KÍ II vs Suduroy?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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