Serra Macaense vs 7 de Abril: result 2-1 and analysis
Carioca - 21st Phase - 5Kick-off on September 24, 2022 at 06:00 PM (UTC)Estádio Antônio Ferreira de Medeiros, Cardoso Moreira, Rio de Janeiro
Full time
What was the result of Serra Macaense vs 7 de Abril?
Serra Macaense won 2-1 on September 24, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Serra Macaense have 6 wins, 6 draws and 3 defeats; 7 de Abril have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2022 | Rio São Paulo(away) | 4-0 | Carioca - 2 |
| Sep 17, 2022 | Pérolas Negras(home) | 0-0 | Carioca - 2 |
| Sep 11, 2022 | Campo Grande(away) | 0-1 | Carioca - 2 |
| Sep 3, 2022 | Nova Cidade(home) | 1-1 | Carioca - 2 |
| Nov 24, 2021 | Pérolas Negras(home) | 1-1 | Carioca - 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2022 | Angra dos Reis(home) | 2-0 | Carioca - 2 |
| Sep 17, 2022 | Duque de Caxias(away) | 1-1 | Carioca - 2 |
| Sep 10, 2022 | Serrano RJ(home) | 0-1 | Carioca - 2 |
| Sep 4, 2022 | CEAC / Araruama(away) | 1-1 | Carioca - 2 |
| Nov 21, 2021 | Serra Macaense(home) | 0-1 | Carioca - 2 |
What does the head-to-head say?
Across the last 2 meetings: 2 Serra Macaense win(s), 0 draw(s), 0 7 de Abril win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 21, 2021 | 7 de Abril 0-1 Serra Macaense | Carioca - 2 |
| Oct 24, 2021 | 7 de Abril 0-4 Serra Macaense | Carioca - 2 |
Last archived meeting: 7 de Abril vs Serra Macaense on Nov 21, 2021
How many goals should we expect?
Serra Macaense score 1.3 and concede 0.7 goals per match over their last 15; 7 de Abril score 1.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Serra Macaense | 1.3 | 0.7 | 6 | 7/15 | 6/15 |
| 7 de Abril | 1.0 | 1.4 | 2 | 6/15 | 6/15 |
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