B68 vs B36 II: result 5-2 and analysis
1. DeildRegular Season - 13Kick-off on June 16, 2017 at 05:00 PM (UTC)Svangaskarð (graslíkisvøllur), Toftir, Eysturoy
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What was the result of B68 vs B36 II?
B68 won 5-2 on June 16, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B68 have 6 wins, 2 draws and 7 defeats; B36 II have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 13, 2017 | HB II(away) | 2-3 | 1. Deild |
| Jun 7, 2017 | Giza / Hoyvík(home) | 1-0 | 1. Deild |
| Jun 2, 2017 | Víkingur II(home) | 2-2 | 1. Deild |
| May 27, 2017 | KÍ II(away) | 1-1 | 1. Deild |
| May 20, 2017 | AB(away) | 0-2 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 13, 2017 | AB(home) | 1-1 | 1. Deild |
| Jun 2, 2017 | Giza / Hoyvík(away) | 1-1 | 1. Deild |
| May 27, 2017 | Suduroy(home) | 3-2 | 1. Deild |
| May 20, 2017 | ÍF II(home) | 5-0 | 1. Deild |
| May 12, 2017 | KÍ II(away) | 1-4 | 1. Deild |
What does the head-to-head say?
Across the last 6 meetings: 4 B68 win(s), 2 draw(s), 0 B36 II win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 18, 2017 | B36 II 2-3 B68 | 1. Deild |
| Aug 19, 2015 | B36 II 1-2 B68 | 1. Deild |
| Jun 6, 2015 | B68 7-0 B36 II | 1. Deild |
| Mar 14, 2015 | B36 II 0-0 B68 | 1. Deild |
| Aug 10, 2013 | B36 II 0-1 B68 | 1. Deild |
| May 18, 2013 | B68 0-0 B36 II | 1. Deild |
How many goals should we expect?
B68 score 1.3 and concede 1.6 goals per match over their last 15; B36 II score 2.2 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B68 | 1.3 | 1.6 | 5 | 6/15 | 8/15 |
| B36 II | 2.2 | 2.2 | 3 | 11/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | B36 II | 20 | 7 | 2 | 11 | 37 | 49 | 23 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy