NSÍ II vs AB: result 0-2 and analysis
1. DeildRegular Season - 25Kick-off on September 8, 2012 at 02:00 PM (UTC)við Løkin, Runavík, Eysturoy
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What was the result of NSÍ II vs AB?
AB won 0-2 on September 8, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, NSÍ II have 3 wins, 2 draws and 10 defeats; AB have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2012 | 07 Vestur(away) | 1-2 | 1. Deild |
| Sep 1, 2012 | B68 II(away) | 1-2 | 1. Deild |
| Aug 26, 2012 | Víkingur II(home) | 0-4 | 1. Deild |
| Aug 22, 2012 | B71(away) | 0-3 | 1. Deild |
| Aug 18, 2012 | Skála(home) | 1-3 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2012 | Skála(home) | 2-1 | 1. Deild |
| Sep 1, 2012 | KÍ II(away) | 1-0 | 1. Deild |
| Aug 26, 2012 | 07 Vestur(home) | 0-2 | 1. Deild |
| Aug 22, 2012 | B68 II(home) | 3-0 | 1. Deild |
| Aug 18, 2012 | Víkingur II(away) | 4-0 | 1. Deild |
What does the head-to-head say?
Across the last 2 meetings: 0 NSÍ II wins, 0 draws, 2 AB wins.
| Date | Score | Competition |
|---|---|---|
| Jun 23, 2012 | AB 6-1 NSÍ II | 1. Deild |
| Mar 31, 2012 | NSÍ II 0-3 AB | 1. Deild |
How many goals should we expect?
NSÍ II score 1.3 and concede 2.5 goals per match over their last 15; AB score 2.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NSÍ II | 1.3 | 2.5 | 1 | 10/15 | 14/15 |
| AB | 2.6 | 1.1 | 5 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | NSÍ II | 25 | 7 | 5 | 13 | 36 | 57 | 26 |
A question about NSÍ II vs AB?
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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