7 de Abril vs Zinza: result 0-0 and analysis
Carioca B2Group Stage - 4Kick-off on October 17, 2024 at 06:00 PM (UTC)Estádio de Los Lários, Duque de Caxias, Rio de Janeiro
Full time
What was the result of 7 de Abril vs Zinza?
7 de Abril and Zinza drew 0-0 on October 17, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, 7 de Abril have 1 win, 0 draws and 14 defeats; Zinza have 5, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2024 | Rio São Paulo(away) | 0-1 | Carioca B2 |
| Oct 7, 2024 | Mageense(away) | 5-0 | Carioca B2 |
| Sep 30, 2024 | Rio de Janeiro(home) | 2-3 | Carioca B2 |
| Nov 8, 2023 | Barra da Tijuca(away) | 0-7 | Carioca - 2 |
| Nov 3, 2023 | Friburguense(away) | 0-3 | Carioca - 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2024 | Rio de Janeiro(home) | 0-0 | Carioca B2 |
| Oct 9, 2024 | Olaria(away) | 0-1 | Copa Rio |
| Oct 5, 2024 | Carapebus(away) | 1-2 | Carioca B2 |
| Oct 2, 2024 | Olaria(home) | 0-1 | Copa Rio |
| Sep 29, 2024 | Barra Mansa(home) | 1-0 | Carioca B2 |
How many goals should we expect?
7 de Abril score 0.9 and concede 3.7 goals per match over their last 15; Zinza score 1.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| 7 de Abril | 0.9 | 3.7 | 1 | 5/15 | 13/15 |
| Zinza | 1.0 | 0.7 | 5 | 3/11 | 3/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | 7 de Abril | 8 | 3 | 1 | 4 | 10 | 15 | 10 |
A question about 7 de Abril vs Zinza?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy