AB vs B71: result 1-1 and analysis
1. DeildRegular Season - 11Kick-off on May 15, 2021 at 02:00 PM (UTC)Skansi Arena, Argir, Streymoy
Full time
What was the result of AB vs B71?
AB and B71 drew 1-1 on May 15, 2021.
Goalscorers
- 5′B. PetersenAB
- 79′?B71
What is the recent form of both teams?
Over their last 15 matches in all competitions, AB have 5 wins, 3 draws and 7 defeats; B71 have 6, 0 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2021 | B36 II(home) | 4-0 | 1. Deild |
| May 8, 2021 | KÍ II(away) | 0-0 | 1. Deild |
| May 1, 2021 | Suduroy(home) | 3-2 | 1. Deild |
| Apr 24, 2021 | B71(away) | 0-2 | 1. Deild |
| Apr 18, 2021 | B36 Torshavn(away) | 0-6 | Løgmanssteypid |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2021 | NSÍ II(away) | 3-1 | 1. Deild |
| May 8, 2021 | HB II(home) | 1-3 | 1. Deild |
| May 1, 2021 | EB / Streymur II(away) | 2-0 | 1. Deild |
| Apr 24, 2021 | AB(home) | 2-0 | 1. Deild |
| Apr 18, 2021 | Undrid(home) | 2-1 | Løgmanssteypid |
What does the head-to-head say?
Across the last 4 meetings: 3 AB wins, 0 draws, 1 B71 win.
| Date | Score | Competition |
|---|---|---|
| Apr 24, 2021 | B71 2-0 AB | 1. Deild |
| Sep 22, 2012 | B71 1-4 AB | 1. Deild |
| Jun 29, 2012 | AB 7-0 B71 | 1. Deild |
| May 12, 2012 | B71 2-5 AB | 1. Deild |
How many goals should we expect?
AB score 1.5 and concede 1.8 goals per match over their last 15; B71 score 1.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AB | 1.5 | 1.8 | 3 | 7/15 | 11/15 |
| B71 | 1.7 | 2.1 | 2 | 12/15 | 12/15 |
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 vs B71?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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