KÍ II vs Suduroy: result 5-2 and analysis
1. DeildRegular Season - 7Kick-off on May 7, 2017 at 02:00 PM (UTC)Við Djúpumýrar, Klaksvík, Borðoy
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What was the result of KÍ II vs Suduroy?
KÍ II won 5-2 on May 7, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KÍ II have 6 wins, 2 draws and 7 defeats; Suduroy have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Mar 18, 2017 | HB II(away) | 2-3 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2017 | B68(home) | 2-1 | 1. Deild |
| Apr 22, 2017 | HB II(away) | 1-6 | 1. Deild |
| Apr 15, 2017 | B36 II(home) | 3-1 | 1. Deild |
| Apr 8, 2017 | NSÍ II(away) | 1-7 | 1. Deild |
| Mar 18, 2017 | Giza / Hoyvík(home) | 2-2 | 1. Deild |
What does the head-to-head say?
Across the last 6 meetings: 1 KÍ II win(s), 2 draw(s), 3 Suduroy win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2016 | KÍ II 2-3 Suduroy | 1. Deild |
| Jun 22, 2016 | Suduroy 1-0 KÍ II | 1. Deild |
| Apr 20, 2016 | KÍ II 4-2 Suduroy | 1. Deild |
| Sep 20, 2014 | KÍ II 1-1 Suduroy | 1. Deild |
| May 24, 2014 | Suduroy 2-2 KÍ II | 1. Deild |
| Mar 22, 2014 | KÍ II 1-2 Suduroy | 1. Deild |
How many goals should we expect?
KÍ II score 2.1 and concede 2.6 goals per match over their last 15; Suduroy score 2.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KÍ II | 2.1 | 2.6 | 1 | 13/15 | 12/15 |
| Suduroy | 2.9 | 2.1 | 3 | 12/15 | 15/15 |
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 | 20 | 13 | 2 | 5 | 59 | 26 | 41 |
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