B71 vs B68: result 2-6 and analysis
1. DeildRegular Season - 27Kick-off on September 26, 2015 at 01:00 PM (UTC)inni í Dal, Sandur, Sandoy
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What was the result of B71 vs B68?
B68 won 2-6 on September 26, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B71 have 4 wins, 2 draws and 9 defeats; B68 have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2015 | 07 Vestur(away) | 1-4 | 1. Deild |
| Sep 12, 2015 | Skála(home) | 0-5 | 1. Deild |
| Aug 30, 2015 | B36 II(away) | 2-3 | 1. Deild |
| Aug 22, 2015 | KÍ II(home) | 2-1 | 1. Deild |
| Aug 19, 2015 | NSÍ II(away) | 0-3 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2015 | AB II(home) | 3-1 | 1. Deild |
| Sep 12, 2015 | Víkingur II(home) | 2-0 | 1. Deild |
| Aug 30, 2015 | 07 Vestur(away) | 3-1 | 1. Deild |
| Aug 22, 2015 | Skála(home) | 0-0 | 1. Deild |
| Aug 19, 2015 | B36 II(away) | 2-1 | 1. Deild |
What does the head-to-head say?
Across the last 5 meetings: 1 B71 win, 1 draw, 3 B68 wins.
| Date | Score | Competition |
|---|---|---|
| Jun 27, 2015 | B68 6-1 B71 | 1. Deild |
| Apr 25, 2015 | B71 2-1 B68 | 1. Deild |
| Oct 5, 2013 | B68 5-1 B71 | 1. Deild |
| Aug 3, 2013 | B71 1-6 B68 | 1. Deild |
| May 11, 2013 | B68 1-1 B71 | 1. Deild |
How many goals should we expect?
B71 score 1.9 and concede 2.6 goals per match over their last 15; B68 score 2.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B71 | 1.9 | 2.6 | 3 | 7/15 | 13/15 |
| B68 | 2.4 | 1.2 | 6 | 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 B68?
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