ÍF II vs B36 II: result 1-3 and analysis
1. DeildRegular Season - 26Kick-off on October 14, 2017 at 02:00 PM (UTC)á Fløtugerði, Fuglafjørður, Eysturoy
Full time
What was the result of ÍF II vs B36 II?
B36 II won 1-3 on October 14, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ÍF II have 1 wins, 0 draws and 14 defeats; B36 II have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2017 | Vikingur Gota(home) | 1-5 | Meistaradeildin |
| Sep 30, 2017 | AB(away) | 0-9 | 1. Deild |
| Sep 24, 2017 | NSI Runavik(home) | 0-2 | Meistaradeildin |
| Sep 23, 2017 | HB II(home) | 0-5 | 1. Deild |
| Sep 20, 2017 | Skála(away) | 1-2 | Meistaradeildin |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2017 | HB II(away) | 2-3 | 1. Deild |
| Sep 23, 2017 | Víkingur II(home) | 0-2 | 1. Deild |
| Sep 19, 2017 | KÍ II(away) | 1-2 | 1. Deild |
| Sep 15, 2017 | B68(home) | 5-2 | 1. Deild |
| Sep 9, 2017 | AB(away) | 0-4 | 1. Deild |
What does the head-to-head say?
Across the last 2 meetings: 0 ÍF II win(s), 0 draw(s), 2 B36 II win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 13, 2017 | B36 II 32-0 ÍF II | 1. Deild |
| May 20, 2017 | B36 II 5-0 ÍF II | 1. Deild |
How many goals should we expect?
ÍF II score 0.6 and concede 5.7 goals per match over their last 15; B36 II score 3.7 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ÍF II | 0.6 | 5.7 | 0 | 8/15 | 13/15 |
| B36 II | 3.7 | 2.3 | 1 | 12/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
ÍF II sit 4th in 1. Deild (30 points from 20 matches) and B36 II sit 6th (23 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | ÍF II | 20 | 8 | 6 | 6 | 48 | 43 | 30 |
| 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