NSÍ II vs AB: result 1-6 and analysis
1. DeildRegular Season - 22Kick-off on September 15, 2017 at 05:00 PM (UTC)við Løkin, Runavík, Eysturoy
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What was the result of NSÍ II vs AB?
AB won 1-6 on September 15, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, NSÍ II have 5 wins, 2 draws and 8 defeats; AB have 13, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | Giza / Hoyvík(away) | 3-4 | 1. Deild |
| Aug 27, 2017 | Suduroy(home) | 2-6 | 1. Deild |
| Aug 19, 2017 | ÍF II(home) | 7-0 | 1. Deild |
| Aug 13, 2017 | HB II(away) | 1-1 | 1. Deild |
| Aug 5, 2017 | B36 II(home) | 3-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | B36 II(home) | 4-0 | 1. Deild |
| Aug 23, 2017 | HB II(away) | 1-0 | 1. Deild |
| Aug 19, 2017 | Víkingur II(home) | 1-0 | 1. Deild |
| Aug 13, 2017 | B68(away) | 0-2 | 1. Deild |
| Aug 5, 2017 | KÍ II(home) | 4-0 | 1. Deild |
What does the head-to-head say?
Across the last 5 meetings: 0 NSÍ II wins, 1 draw, 4 AB wins.
| Date | Score | Competition |
|---|---|---|
| Jun 17, 2017 | AB 4-1 NSÍ II | 1. Deild |
| Mar 18, 2017 | NSÍ II 2-2 AB | 1. Deild |
| Sep 8, 2012 | NSÍ II 0-2 AB | 1. Deild |
| 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 1.9 and concede 2.1 goals per match over their last 15; AB score 2.9 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NSÍ II | 1.9 | 2.1 | 3 | 8/15 | 10/15 |
| AB | 2.9 | 0.3 | 12 | 2/15 | 8/15 |
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