Víkingur II vs ÍF II: result 8-0 and analysis
1. DeildRegular Season - 13Kick-off on June 17, 2017 at 03:00 PM (UTC)Sarpugerði, Norðragøta, Eysturoy
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What was the result of Víkingur II vs ÍF II?
Víkingur II won 8-0 on June 17, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Víkingur II have 7 wins, 2 draws and 6 defeats; ÍF II have 1, 2 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 13, 2017 | KÍ II(home) | 0-0 | 1. Deild |
| Jun 2, 2017 | B68(away) | 2-2 | 1. Deild |
| May 27, 2017 | AB(home) | 0-1 | 1. Deild |
| May 20, 2017 | Suduroy(away) | 3-1 | 1. Deild |
| May 13, 2017 | HB II(home) | 1-0 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 14, 2017 | 07 Vestur(away) | 2-3 | Meistaradeildin |
| Jun 10, 2017 | Suduroy(home) | 4-1 | 1. Deild |
| Jun 3, 2017 | TB / FCS / Royn(home) | 0-4 | Meistaradeildin |
| Jun 1, 2017 | KÍ II(away) | 0-7 | 1. Deild |
| May 28, 2017 | HB Torshavn(away) | 2-4 | Meistaradeildin |
What does the head-to-head say?
Across the last 1 meetings: 1 Víkingur II win(s), 0 draw(s), 0 ÍF II win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 17, 2017 | Víkingur II 4-0 ÍF II | 1. Deild |
How many goals should we expect?
Víkingur II score 1.7 and concede 1.7 goals per match over their last 15; ÍF II score 0.7 and concede 3.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Víkingur II | 1.7 | 1.7 | 5 | 6/15 | 10/15 |
| ÍF II | 0.7 | 3.9 | 1 | 6/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Víkingur II sit 2nd in 1. Deild (45 points from 20 matches) and ÍF II sit 4th (30 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Víkingur II | 20 | 14 | 3 | 3 | 52 | 30 | 45 |
| 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