ÍF II vs B71: result 4-3 and analysis
1. DeildRegular Season - 10Kick-off on May 15, 2018 at 05:30 PM (UTC)á Fløtugerði, Fuglafjørður, Eysturoy
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What was the result of ÍF II vs B71?
ÍF II won 4-3 on May 15, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ÍF II have 6 wins, 2 draws and 7 defeats; B71 have 7, 0 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2018 | B68(away) | 1-6 | 1. Deild |
| Apr 28, 2018 | NSÍ II(away) | 1-1 | 1. Deild |
| Apr 25, 2018 | B36 Torshavn(home) | 0-3 | Løgmanssteypid |
| Apr 21, 2018 | HB II(home) | 2-1 | 1. Deild |
| Apr 14, 2018 | TB / FCS / Royn II(away) | 9-0 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2018 | HB Torshavn(away) | 0-6 | Løgmanssteypid |
| May 5, 2018 | Skála II(home) | 1-0 | 1. Deild |
| Apr 28, 2018 | HB II(away) | 1-0 | 1. Deild |
| Apr 25, 2018 | Giza / Hoyvík(home) | 4-0 | Løgmanssteypid |
| Apr 21, 2018 | TB / FCS / Royn II(home) | 6-4 | 1. Deild |
What does the head-to-head say?
Across the last 1 meetings: 1 ÍF II win(s), 0 draw(s), 0 B71 win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 18, 2018 | B71 2-3 ÍF II | 1. Deild |
How many goals should we expect?
ÍF II score 2.4 and concede 2.6 goals per match over their last 15; B71 score 2.0 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ÍF II | 2.4 | 2.6 | 1 | 13/15 | 13/15 |
| B71 | 2.0 | 2.9 | 4 | 9/15 | 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 B71 sit 1st (50 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | B71 | 20 | 16 | 2 | 2 | 63 | 18 | 50 |
| 4 | ÍF II | 20 | 8 | 6 | 6 | 48 | 43 | 30 |
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