AB II vs B71: result 2-0 and analysis
1. DeildRegular Season - 19Kick-off on July 31, 2016 at 01:30 PM (UTC)Skansi Arena, Argir, Streymoy
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What was the result of AB II vs B71?
AB II won 2-0 on July 31, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, AB II have 0 wins, 3 draws and 12 defeats; B71 have 1, 4 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 29, 2016 | HB II(home) | 0-0 | 1. Deild |
| Jun 25, 2016 | Giza / Hoyvík(home) | 2-5 | 1. Deild |
| Jun 22, 2016 | EB / Streymur(away) | 0-4 | 1. Deild |
| Jun 18, 2016 | Suduroy(home) | 0-1 | 1. Deild |
| Jun 11, 2016 | KÍ II(away) | 0-2 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2016 | NSÍ II(home) | 2-6 | 1. Deild |
| Jun 29, 2016 | 07 Vestur(away) | 1-3 | 1. Deild |
| Jun 25, 2016 | HB II(away) | 2-2 | 1. Deild |
| Jun 22, 2016 | Víkingur II(away) | 0-7 | 1. Deild |
| Jun 18, 2016 | Giza / Hoyvík(home) | 1-4 | 1. Deild |
What does the head-to-head say?
Across the last 5 meetings: 2 AB II wins, 2 draws, 1 B71 win.
| Date | Score | Competition |
|---|---|---|
| May 14, 2016 | B71 1-1 AB II | 1. Deild |
| Apr 9, 2016 | AB II 0-2 B71 | 1. Deild |
| Jul 4, 2015 | AB II 2-0 B71 | 1. Deild |
| May 16, 2015 | B71 0-2 AB II | 1. Deild |
| Apr 1, 2015 | AB II 0-0 B71 | 1. Deild |
How many goals should we expect?
AB II score 0.5 and concede 2.9 goals per match over their last 15; B71 score 1.3 and concede 3.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AB II | 0.5 | 2.9 | 1 | 6/15 | 8/15 |
| B71 | 1.3 | 3.4 | 1 | 12/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | B71 | 25 | 19 | 3 | 3 | 78 | 27 | 60 |
A question about AB II vs B71?
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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