Víkingur II vs TB II: result 2-1 and analysis
1. DeildRegular Season - 15Kick-off on June 15, 2013 at 01:00 PM (UTC)Sarpugerði, Norðragøta, Eysturoy
Full time
What was the result of Víkingur II vs TB II?
Víkingur II won 2-1 on June 15, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Víkingur II have 6 wins, 1 draw and 8 defeats; TB II have 4, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2013 | EB / Streymur II(home) | 1-3 | 1. Deild |
| Jun 1, 2013 | B71(away) | 3-0 | 1. Deild |
| May 25, 2013 | KÍ II(home) | 2-0 | 1. Deild |
| May 18, 2013 | HB II(away) | 2-3 | 1. Deild |
| May 15, 2013 | B68(home) | 3-2 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2013 | B68(home) | 2-5 | 1. Deild |
| Jun 1, 2013 | EB / Streymur II(away) | 0-4 | 1. Deild |
| May 25, 2013 | Skála(home) | 0-8 | 1. Deild |
| May 18, 2013 | B71(away) | 0-2 | 1. Deild |
| May 15, 2013 | Suduroy(home) | 2-0 | 1. Deild |
What does the head-to-head say?
In the last meeting: 1 Víkingur II win, 0 draws, 0 TB II wins.
| Date | Score | Competition |
|---|---|---|
| Apr 20, 2013 | TB II 0-1 Víkingur II | 1. Deild |
How many goals should we expect?
Víkingur II score 1.7 and concede 1.6 goals per match over their last 15; TB II score 1.1 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Víkingur II | 1.7 | 1.6 | 4 | 8/15 | 8/15 |
| TB II | 1.1 | 2.6 | 2 | 7/14 | 9/14 |
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 | 25 | 18 | 3 | 4 | 69 | 42 | 57 |
A question about Víkingur II vs TB II?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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