São Bernardo vs Pérolas Negras: result 4-0 and analysis
Serie D1st Phase - 9Kick-off on June 11, 2022 at 07:00 PM (UTC)Estádio Primeiro de Maio, São Bernardo do Campo, São Paulo
Full time
What was the result of São Bernardo vs Pérolas Negras?
São Bernardo won 4-0 on June 11, 2022.
Goalscorers
- 5′Felipe DiogoSão Bernardo
- 27′Eduardo DinizSão Bernardo
- 43′AdenilsonSão Bernardo
- 60′Hugo SanchesSão Bernardo
What is the recent form of both teams?
Over their last 15 matches in all competitions, São Bernardo have 5 wins, 6 draws and 4 defeats; Pérolas Negras have 2, 10 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2022 | Nova Iguaçu(away) | 0-0 | Serie D |
| May 28, 2022 | Nova Iguaçu(home) | 1-0 | Serie D |
| May 22, 2022 | Pérolas Negras(away) | 0-0 | Serie D |
| May 14, 2022 | Cianorte(home) | 1-0 | Serie D |
| May 7, 2022 | Oeste(home) | 3-0 | Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2022 | Oeste(home) | 2-2 | Serie D |
| May 28, 2022 | Oeste(away) | 1-0 | Serie D |
| May 22, 2022 | São Bernardo(home) | 0-0 | Serie D |
| May 15, 2022 | Parana(home) | 0-1 | Serie D |
| May 7, 2022 | Nova Iguaçu(away) | 1-1 | Serie D |
What does the head-to-head say?
Across the last 1 meetings: 0 São Bernardo win(s), 1 draw(s), 0 Pérolas Negras win(s).
| Date | Score | Competition |
|---|---|---|
| May 22, 2022 | Pérolas Negras 0-0 São Bernardo | Serie D |
Last archived meeting: Pérolas Negras vs São Bernardo on May 22, 2022
How many goals should we expect?
São Bernardo score 0.7 and concede 0.7 goals per match over their last 15; Pérolas Negras score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| São Bernardo | 0.7 | 0.7 | 10 | 3/15 | 4/15 |
| Pérolas Negras | 0.9 | 1.0 | 4 | 9/15 | 4/15 |
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