B68 vs AB II: result 4-1 and analysis
1. DeildRegular Season - 22Kick-off on October 20, 2020 at 05:00 PM (UTC)Svangaskarð (graslíkisvøllur), Toftir, Eysturoy
Full time
What was the result of B68 vs AB II?
B68 won 4-1 on October 20, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B68 have 8 wins, 2 draws and 5 defeats; AB II have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2020 | Víkingur II(away) | 3-1 | 1. Deild |
| Oct 2, 2020 | 07 Vestur(away) | 0-2 | 1. Deild |
| Sep 22, 2020 | NSÍ II(home) | 1-0 | 1. Deild |
| Sep 18, 2020 | HB II(away) | 3-1 | 1. Deild |
| Sep 15, 2020 | B71(home) | 1-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2020 | B36 II(home) | 3-1 | 1. Deild |
| Oct 10, 2020 | Hoyvík(home) | 1-0 | 1. Deild |
| Oct 2, 2020 | KÍ II(home) | 2-2 | 1. Deild |
| Sep 18, 2020 | Hoyvík(away) | 2-2 | 1. Deild |
| Sep 15, 2020 | HB II(away) | 0-3 | 1. Deild |
What does the head-to-head say?
Across the last 5 meetings: 4 B68 wins, 0 draws, 1 AB II win.
| Date | Score | Competition |
|---|---|---|
| Aug 29, 2020 | B68 4-2 AB II | 1. Deild |
| Jun 20, 2020 | AB II 2-5 B68 | 1. Deild |
| Sep 19, 2015 | B68 3-1 AB II | 1. Deild |
| Jul 1, 2015 | AB II 4-2 B68 | 1. Deild |
| May 9, 2015 | B68 3-0 AB II | 1. Deild |
How many goals should we expect?
B68 score 2.1 and concede 1.3 goals per match over their last 15; AB II score 1.7 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B68 | 2.1 | 1.3 | 3 | 8/15 | 9/15 |
| AB II | 1.7 | 2.0 | 1 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about B68 vs AB 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