TB II vs Skála: result 0-8 and analysis
1. DeildRegular Season - 12Kick-off on May 25, 2013 at 01:00 PM (UTC)Sevmýri, Tvøroyri, Suðuroy
Full time
What was the result of TB II vs Skála?
Skála won 0-8 on May 25, 2013.
What is the recent form of both teams?
Over their last 11 matches in all competitions, TB II have 4 wins, 1 draw and 6 defeats; Skála have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2013 | B71(away) | 0-2 | 1. Deild |
| May 15, 2013 | Suduroy(home) | 2-0 | 1. Deild |
| May 12, 2013 | B36 II(home) | 1-2 | 1. Deild |
| May 4, 2013 | KÍ II(away) | 1-0 | 1. Deild |
| Apr 27, 2013 | HB II(away) | 1-3 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2013 | Suduroy(away) | 0-3 | 1. Deild |
| May 15, 2013 | B36 II(away) | 2-3 | 1. Deild |
| May 12, 2013 | EB / Streymur II(home) | 3-1 | 1. Deild |
| May 9, 2013 | Víkingur II(away) | 0-2 | 1. Deild |
| Apr 28, 2013 | B71(away) | 2-0 | 1. Deild |
What does the head-to-head say?
In the last meeting: 0 TB II wins, 0 draws, 1 Skála win.
| Date | Score | Competition |
|---|---|---|
| Mar 16, 2013 | Skála 4-2 TB II | 1. Deild |
How many goals should we expect?
TB II score 1.3 and concede 1.8 goals per match over their last 11; Skála score 1.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| TB II | 1.3 | 1.8 | 2 | 6/11 | 6/11 |
| Skála | 1.9 | 1.9 | 1 | 11/15 | 12/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Skála | 27 | 23 | 3 | 1 | 96 | 14 | 72 |
A question about TB II vs Skála?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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