Víkingur II vs Skála: result 2-0 and analysis
1. DeildRegular Season - 8Kick-off on May 9, 2013 at 02:00 PM (UTC)Sarpugerði, Norðragøta, Eysturoy
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What was the result of Víkingur II vs Skála?
Víkingur II won 2-0 on May 9, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Víkingur II have 5 wins, 1 draw and 9 defeats; Skála have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2013 | B36 II(home) | 1-1 | 1. Deild |
| Apr 20, 2013 | TB II(away) | 1-0 | 1. Deild |
| Apr 17, 2013 | B68(away) | 0-2 | 1. Deild |
| Apr 13, 2013 | KÍ II(away) | 1-3 | 1. Deild |
| Apr 6, 2013 | EB / Streymur II(away) | 0-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2013 | B71(away) | 2-0 | 1. Deild |
| Apr 20, 2013 | KÍ II(home) | 2-1 | 1. Deild |
| Apr 17, 2013 | B36 II(home) | 2-2 | 1. Deild |
| Apr 6, 2013 | HB II(away) | 4-3 | 1. Deild |
| Mar 30, 2013 | B68(home) | 1-2 | 1. Deild |
What does the head-to-head say?
Across the last 3 meetings: 0 Víkingur II wins, 1 draw, 2 Skála wins.
| Date | Score | Competition |
|---|---|---|
| Sep 1, 2012 | Víkingur II 0-2 Skála | 1. Deild |
| Jun 17, 2012 | Skála 6-0 Víkingur II | 1. Deild |
| May 16, 2012 | Víkingur II 1-1 Skála | 1. Deild |
How many goals should we expect?
Víkingur II score 1.4 and concede 1.6 goals per match over their last 15; Skála score 2.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Víkingur II | 1.4 | 1.6 | 3 | 6/15 | 8/15 |
| Skála | 2.5 | 1.4 | 4 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Víkingur II | 24 | 17 | 3 | 4 | 61 | 39 | 54 |
A question about Víkingur II vs Skála?
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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