Skála vs TB: result 0-1 and analysis
MeistaradeildinRegular Season - 18Kick-off on July 31, 2016 at 02:00 PM (UTC)Undir Mýruhjalla, Skáli, Eysturoy
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What was the result of Skála vs TB?
TB won 0-1 on July 31, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skála have 3 wins, 5 draws and 7 defeats; TB have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 24, 2016 | HB Torshavn(away) | 0-1 | Meistaradeildin |
| Jun 24, 2016 | ÍF II(home) | 1-0 | Meistaradeildin |
| Jun 19, 2016 | B68(away) | 1-1 | Meistaradeildin |
| Jun 12, 2016 | AB(home) | 1-0 | Meistaradeildin |
| May 29, 2016 | B36 Torshavn(away) | 1-1 | Meistaradeildin |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 24, 2016 | B36 Torshavn(home) | 0-1 | Meistaradeildin |
| Jun 24, 2016 | Vikingur Gota(home) | 0-2 | Meistaradeildin |
| Jun 19, 2016 | ÍF II(away) | 2-2 | Meistaradeildin |
| Jun 12, 2016 | NSI Runavik(home) | 3-1 | Meistaradeildin |
| May 29, 2016 | B68(away) | 3-3 | Meistaradeildin |
What does the head-to-head say?
In the last meeting: 1 Skála win, 0 draws, 0 TB wins.
| Date | Score | Competition |
|---|---|---|
| May 1, 2016 | Skála 5-1 TB | Meistaradeildin |
How many goals should we expect?
Skála score 0.8 and concede 1.2 goals per match over their last 15; TB score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skála | 0.8 | 1.2 | 4 | 5/15 | 4/15 |
| TB | 1.0 | 1.7 | 3 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Skála | 24 | 5 | 8 | 11 | 26 | 39 | 23 |
A question about Skála vs TB?
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