Santa Clara vs Vizela: result 0-0 and analysis
Segunda LigaRegular Season - 29Kick-off on February 26, 2017 at 12:15 PM (UTC)Estádio de São Miguel, Ponta Delgada, Ilha de São Miguel, Açores
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What was the result of Santa Clara vs Vizela?
Santa Clara and Vizela drew 0-0 on February 26, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Santa Clara have 4 wins, 5 draws and 6 defeats; Vizela have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 19, 2017 | FC Porto B(away) | 0-0 | Segunda Liga |
| Feb 15, 2017 | Cova De Piedade(home) | 2-0 | Segunda Liga |
| Feb 12, 2017 | GIL Vicente(away) | 1-2 | Segunda Liga |
| Feb 4, 2017 | Fafe(home) | 1-3 | Segunda Liga |
| Jan 28, 2017 | Famalicao(away) | 1-0 | Segunda Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 19, 2017 | Leixoes(home) | 1-1 | Segunda Liga |
| Feb 15, 2017 | SC Braga B(away) | 0-5 | Segunda Liga |
| Feb 9, 2017 | Sporting CP B(home) | 2-1 | Segunda Liga |
| Feb 3, 2017 | Benfica B(away) | 1-2 | Segunda Liga |
| Jan 28, 2017 | Aves(home) | 3-1 | Segunda Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Santa Clara win(s), 1 draw(s), 0 Vizela win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 9, 2016 | Vizela 0-0 Santa Clara | Segunda Liga |
How many goals should we expect?
Santa Clara score 0.9 and concede 1.3 goals per match over their last 15; Vizela score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Santa Clara | 0.9 | 1.3 | 4 | 8/15 | 6/15 |
| Vizela | 0.9 | 1.4 | 1 | 9/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Vizela | 3 | 1 | 1 | 1 | 1 | 2 | 4 |
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