Juventus vs XV de Piracicaba: result 0-1 and analysis
Paulista - A2Regular Season - 7Kick-off on February 16, 2020 at 01:00 PM (UTC)Estádio Conde Rodolfo Crespi, São Paulo, São Paulo
Full time
What was the result of Juventus vs XV de Piracicaba?
XV de Piracicaba won 0-1 on February 16, 2020.
Goalscorers
- 83′Caio ManchaXV de Piracicaba (pen.)
What is the recent form of both teams?
Over their last 6 matches in all competitions, Juventus have 2 wins, 3 draws and 1 defeats; XV de Piracicaba have 6, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 12, 2020 | Gremio Osasco Audax(home) | 2-0 | Paulista - A2 |
| Feb 8, 2020 | Rio Claro(away) | 0-0 | Paulista - A2 |
| Feb 2, 2020 | São Caetano(home) | 1-3 | Paulista - A2 |
| Jan 29, 2020 | Monte Azul(away) | 1-1 | Paulista - A2 |
| Jan 26, 2020 | Sertãozinho(home) | 1-1 | Paulista - A2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 12, 2020 | Rio Claro(home) | 2-1 | Paulista - A2 |
| Feb 8, 2020 | Atibaia(away) | 1-0 | Paulista - A2 |
| Feb 5, 2020 | Londrina(home) | 1-0 | Copa Do Brasil |
| Feb 1, 2020 | Sao Bento(home) | 0-0 | Paulista - A2 |
| Jan 29, 2020 | São Caetano(away) | 1-2 | Paulista - A2 |
How many goals should we expect?
Juventus score 1.5 and concede 0.8 goals per match over their last 6; XV de Piracicaba score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Juventus | 1.5 | 0.8 | 3 | 3/6 | 2/6 |
| XV de Piracicaba | 1.1 | 1.2 | 5 | 5/13 | 5/13 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Juventus sit 7th in Paulista - A2 (23 points from 15 matches) and XV de Piracicaba sit 8th (22 points from 15 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Juventus | 15 | 6 | 5 | 4 | 22 | 20 | 23 |
| 8 | XV de Piracicaba | 15 | 6 | 4 | 5 | 16 | 15 | 22 |
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