Operario-PR vs São Paulo RS: result 3-1 and analysis
Serie DRegular Season - 5Kick-off on June 18, 2017 at 06:30 PM (UTC)Estádio Germano Krüger, Ponta Grossa, Paraná
Full time
What was the result of Operario-PR vs São Paulo RS?
Operario-PR won 3-1 on June 18, 2017.
Goalscorers
- 5′Henrique PedrozoSão Paulo RS
- 12′Diego QuirinoOperario-PR
- 63′Diego QuirinoOperario-PR
- 81′Rafael Farias PeixotoOperario-PR
What is the recent form of both teams?
Over their last 15 matches in all competitions, Operario-PR have 9 wins, 1 draws and 5 defeats; São Paulo RS have 4, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2017 | XV de Piracicaba(away) | 1-0 | Serie D |
| Jun 4, 2017 | XV de Piracicaba(home) | 1-0 | Serie D |
| May 28, 2017 | São Paulo RS(away) | 0-1 | Serie D |
| May 21, 2017 | Brusque(home) | 1-0 | Serie D |
| Jul 6, 2016 | Paysandu(away) | 0-2 | Copa Do Brasil |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 11, 2017 | Brusque(home) | 1-1 | Serie D |
| Jun 4, 2017 | Brusque(away) | 1-3 | Serie D |
| May 28, 2017 | Operario-PR(home) | 1-0 | Serie D |
| May 21, 2017 | XV de Piracicaba(away) | 0-1 | Serie D |
| Jul 17, 2016 | PSTC Procopense(home) | 2-0 | Serie D |
What does the head-to-head say?
Across the last 1 meetings: 0 Operario-PR win(s), 0 draw(s), 1 São Paulo RS win(s).
| Date | Score | Competition |
|---|---|---|
| May 28, 2017 | São Paulo RS 1-0 Operario-PR | Serie D |
Last archived meeting: São Paulo RS vs Operario-PR on May 28, 2017
How many goals should we expect?
Operario-PR score 1.0 and concede 0.8 goals per match over their last 15; São Paulo RS score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Operario-PR | 1.0 | 0.8 | 6 | 5/15 | 4/15 |
| São Paulo RS | 0.9 | 1.2 | 2 | 4/10 | 4/10 |
Over the last 15 matches in all competitions.
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