B71 vs TB II: result 2-0 and analysis
1. DeildRegular Season - 11Kick-off on May 18, 2013 at 02:30 PM (UTC)inni í Dal, Sandur, Sandoy
Full time
What was the result of B71 vs TB II?
B71 won 2-0 on May 18, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B71 have 1 win, 2 draws and 12 defeats; TB II have 4, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2013 | KÍ II(home) | 1-3 | 1. Deild |
| May 11, 2013 | B68(away) | 1-1 | 1. Deild |
| May 4, 2013 | HB II(home) | 0-6 | 1. Deild |
| Apr 28, 2013 | Skála(home) | 0-2 | 1. Deild |
| Apr 21, 2013 | Suduroy(away) | 0-3 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2013 | Suduroy(home) | 2-0 | 1. Deild |
| May 12, 2013 | B36 II(home) | 1-2 | 1. Deild |
| May 4, 2013 | KÍ II(away) | 1-0 | 1. Deild |
| Apr 27, 2013 | HB II(away) | 1-3 | 1. Deild |
| Apr 20, 2013 | Víkingur II(home) | 0-1 | 1. Deild |
What does the head-to-head say?
In the last meeting: 0 B71 wins, 0 draws, 1 TB II win.
| Date | Score | Competition |
|---|---|---|
| Mar 24, 2013 | TB II 2-1 B71 | 1. Deild |
How many goals should we expect?
B71 score 1.0 and concede 3.3 goals per match over their last 15; TB II score 1.4 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B71 | 1.0 | 3.3 | 0 | 10/15 | 12/15 |
| TB II | 1.4 | 1.8 | 2 | 6/10 | 6/10 |
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 TB II?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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