NSÍ II vs TB: result 0-3 and analysis
1. DeildRegular Season - 19Kick-off on August 2, 2014 at 02:00 PM (UTC)við Løkin, Runavík, Eysturoy
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What was the result of NSÍ II vs TB?
TB won 0-3 on August 2, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, NSÍ II have 8 wins, 2 draws and 5 defeats; TB have 14, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 28, 2014 | B36 II(home) | 0-2 | 1. Deild |
| Jun 25, 2014 | AB II(away) | 3-3 | 1. Deild |
| Jun 20, 2014 | EB / Streymur II(away) | 4-0 | 1. Deild |
| Jun 14, 2014 | Suduroy(home) | 2-4 | 1. Deild |
| Jun 11, 2014 | HB II(home) | 7-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 28, 2014 | KÍ II(home) | 3-0 | 1. Deild |
| Jun 21, 2014 | Víkingur II(away) | 7-0 | 1. Deild |
| Jun 14, 2014 | AB II(home) | 5-0 | 1. Deild |
| Jun 11, 2014 | Suduroy(home) | 2-2 | 1. Deild |
| Jun 7, 2014 | B36 II(away) | 3-0 | 1. Deild |
What does the head-to-head say?
Across the last 2 meetings: 0 NSÍ II win(s), 0 draw(s), 2 TB win(s).
| Date | Score | Competition |
|---|---|---|
| May 17, 2014 | NSÍ II 0-2 TB | 1. Deild |
| Mar 29, 2014 | TB 3-1 NSÍ II | 1. Deild |
How many goals should we expect?
NSÍ II score 2.6 and concede 1.7 goals per match over their last 15; TB score 2.9 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NSÍ II | 2.6 | 1.7 | 2 | 9/15 | 10/15 |
| TB | 2.9 | 0.4 | 10 | 5/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
NSÍ II sit 7th in 1. Deild (22 points from 20 matches) and TB sit 5th (26 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | TB | 20 | 7 | 5 | 8 | 35 | 43 | 26 |
| 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