B71 vs AB II: result 0-2 and analysis
1. DeildRegular Season - 10Kick-off on May 16, 2015 at 01:00 PM (UTC)inni í Dal, Sandur, Sandoy
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What was the result of B71 vs AB II?
AB II won 0-2 on May 16, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B71 have 6 wins, 5 draws and 4 defeats; AB II have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2015 | 07 Vestur(away) | 1-3 | 1. Deild |
| May 2, 2015 | KÍ II(home) | 1-0 | 1. Deild |
| Apr 25, 2015 | B68(home) | 2-1 | 1. Deild |
| Apr 18, 2015 | B36 II(away) | 0-0 | 1. Deild |
| Apr 11, 2015 | Skála(home) | 0-0 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2015 | B68(away) | 0-3 | 1. Deild |
| May 2, 2015 | B36 II(home) | 2-2 | 1. Deild |
| Apr 25, 2015 | Víkingur II(home) | 2-0 | 1. Deild |
| Apr 18, 2015 | Skála(away) | 1-4 | 1. Deild |
| Apr 12, 2015 | 07 Vestur(home) | 3-1 | 1. Deild |
What does the head-to-head say?
In the last meeting: 0 B71 wins, 1 draw, 0 AB II wins.
| Date | Score | Competition |
|---|---|---|
| Apr 1, 2015 | AB II 0-0 B71 | 1. Deild |
How many goals should we expect?
B71 score 1.3 and concede 1.9 goals per match over their last 15; AB II score 1.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B71 | 1.3 | 1.9 | 6 | 8/15 | 8/15 |
| AB II | 1.5 | 1.8 | 4 | 9/15 | 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 B71 vs AB 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