AB vs NSÍ II: result 6-1 and analysis
1. DeildRegular Season - 14Kick-off on June 23, 2012 at 03:00 PM (UTC)Skansi Arena, Argir, Streymoy
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What was the result of AB vs NSÍ II?
AB won 6-1 on June 23, 2012.
What is the recent form of both teams?
Over their last 13 matches in all competitions, AB have 11 wins, 0 draws and 2 defeats; NSÍ II have 3, 0 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2012 | KÍ II(home) | 6-1 | 1. Deild |
| Jun 9, 2012 | B68 II(away) | 7-1 | 1. Deild |
| Jun 2, 2012 | Víkingur II(away) | 2-4 | 1. Deild |
| May 26, 2012 | HB II(away) | 0-1 | 1. Deild |
| May 19, 2012 | 07 Vestur(home) | 3-2 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2012 | B68 II(home) | 5-1 | 1. Deild |
| Jun 8, 2012 | B71(home) | 2-0 | 1. Deild |
| Jun 3, 2012 | Skála(away) | 0-3 | 1. Deild |
| May 26, 2012 | EB / Streymur II(away) | 1-2 | 1. Deild |
| May 19, 2012 | Víkingur II(home) | 3-4 | 1. Deild |
What does the head-to-head say?
In the last meeting: 1 AB win, 0 draws, 0 NSÍ II wins.
| Date | Score | Competition |
|---|---|---|
| Mar 31, 2012 | NSÍ II 0-3 AB | 1. Deild |
How many goals should we expect?
AB score 3.7 and concede 1.1 goals per match over their last 13; NSÍ II score 1.4 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AB | 3.7 | 1.1 | 5 | 7/13 | 11/13 |
| NSÍ II | 1.4 | 3.3 | 1 | 6/13 | 11/13 |
Over the last 13 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 AB vs NSÍ II?
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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