NSÍ II vs TB / FCS / Royn II: result 8-0 and analysis
1. DeildRegular Season - 13Kick-off on June 2, 2018 at 02:00 PM (UTC)við Løkin, Runavík, Eysturoy
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What was the result of NSÍ II vs TB / FCS / Royn II?
NSÍ II won 8-0 on June 2, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, NSÍ II have 10 wins, 2 draws and 3 defeats; TB / FCS / Royn II have 0, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2018 | Víkingur II(away) | 0-1 | 1. Deild |
| May 19, 2018 | B68(home) | 2-0 | 1. Deild |
| May 12, 2018 | Giza / Hoyvík(home) | 5-1 | 1. Deild |
| May 5, 2018 | TB / FCS / Royn II(away) | 5-0 | 1. Deild |
| Apr 28, 2018 | ÍF II(home) | 1-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2018 | HB II(home) | 2-2 | 1. Deild |
| May 19, 2018 | B71(home) | 1-3 | 1. Deild |
| May 12, 2018 | Skála II(away) | 2-2 | 1. Deild |
| May 5, 2018 | NSÍ II(home) | 0-5 | 1. Deild |
| Apr 28, 2018 | Víkingur II(home) | 2-2 | 1. Deild |
What does the head-to-head say?
Across the last 1 meetings: 1 NSÍ II win(s), 0 draw(s), 0 TB / FCS / Royn II win(s).
| Date | Score | Competition |
|---|---|---|
| May 5, 2018 | TB / FCS / Royn II 0-5 NSÍ II | 1. Deild |
Last archived meeting: TB / FCS / Royn II vs NSÍ II on May 5, 2018
How many goals should we expect?
NSÍ II score 2.4 and concede 1.2 goals per match over their last 15; TB / FCS / Royn II score 1.1 and concede 4.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NSÍ II | 2.4 | 1.2 | 3 | 9/15 | 9/15 |
| TB / FCS / Royn II | 1.1 | 4.8 | 1 | 7/12 | 11/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | NSÍ II | 20 | 6 | 4 | 10 | 26 | 42 | 22 |
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