NSI Runavik vs KÍ II: result 3-1 and analysis
1. DeildRegular Season - 10Kick-off on May 20, 2023 at 03:00 PM (UTC)við Løkin, Runavík, Eysturoy
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What was the result of NSI Runavik vs KÍ II?
NSI Runavik won 3-1 on May 20, 2023.
Goalscorers
- 24′?NSI Runavik
- 68′?KÍ II
- 84′O. HøjgaardNSI Runavik (pen.)
- 90′J. HøjgaardNSI Runavik
What is the recent form of both teams?
Over their last 15 matches in all competitions, NSI Runavik have 7 wins, 1 draw and 7 defeats; KÍ II have 9, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2023 | B71(away) | 2-1 | 1. Deild |
| May 9, 2023 | B68(away) | 1-2 | Løgmanssteypid |
| May 4, 2023 | HB II(away) | 0-5 | 1. Deild |
| Apr 29, 2023 | Hoyvík(home) | 5-1 | 1. Deild |
| Apr 25, 2023 | EB / Streymur II(home) | 5-0 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2023 | EB / Streymur II(home) | 4-1 | 1. Deild |
| May 4, 2023 | B36 II(away) | 1-4 | 1. Deild |
| Apr 29, 2023 | Víkingur II(away) | 0-1 | 1. Deild |
| Apr 25, 2023 | Skála(away) | 1-4 | 1. Deild |
| Apr 15, 2023 | B68 II(home) | 4-1 | 1. Deild |
What does the head-to-head say?
In the last meeting: 1 NSI Runavik win, 0 draws, 0 KÍ II wins.
| Date | Score | Competition |
|---|---|---|
| Apr 1, 2023 | KÍ II 0-2 NSI Runavik | 1. Deild |
How many goals should we expect?
NSI Runavik score 2.5 and concede 1.5 goals per match over their last 15; KÍ II score 2.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NSI Runavik | 2.5 | 1.5 | 5 | 7/15 | 11/15 |
| KÍ II | 2.3 | 1.5 | 4 | 8/15 | 10/15 |
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 |
A question about NSI Runavik vs KÍ II?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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