Remo vs Peñarol: result 4-2 and analysis
Serie DRegular Season - 3Kick-off on July 1, 2012 at 07:00 PM (UTC)Estádio Estadual Jornalista Edgar Augusto Proença, Belém, Pará
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What was the result of Remo vs Peñarol?
Remo won 4-2 on July 1, 2012.
Goalscorers
- 26′Cassiano Elias dos SantosRemo
- 38′Andre Jeronimo de AndradeRemo
- 50′Fabio Marcelo de OliveiraRemo
- 66′Mario Jorge Maciel Pereira NascimentoPeñarol
- 69′FininhoPeñarol
- 72′Marcelo de Souza MacielRemo
Official lineup for Remo vs Peñarol
The starting elevens fielded at kick-off.
Remo
- FFabio Marcelo de Oliveira
- CCassiano Elias dos Santos
- AAndre Jeronimo de Andrade
- EEdu Chiquita
- DDiego Barros
- RReis
- JJhonnatan
- EEdson Aparecido Oliva
- EEduardo Gabriel dos Santos Filho
- AAldivan Alves Soares
- AAdriano Pires de Andrade
Peñarol
- FFininho
- MMario Jorge Maciel Pereira Nascimento
- PPaulo Roberto
- RRondinelli
- FFernando
- FFabio Bala
- HHe-Man
- JJose Carlos de Nicacio e Silva
- RReginaldo Dias Das Neves
- LLidio Chacon Julião
- CCarlos Eduardo dos Santos
What is the recent form of both teams?
In their last match in all competitions, Remo have 0 wins, 0 draws and 1 defeat; Peñarol have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 24, 2012 | Vilhena(away) | 2-4 | Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 24, 2012 | Atlético Acreano(home) | 1-3 | Serie D |
How many goals should we expect?
Remo score 2.0 and concede 4.0 goals per match in their last match; Peñarol score 1.0 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Remo | 2.0 | 4.0 | 0 | 1/1 | 1/1 |
| Peñarol | 1.0 | 3.0 | 0 | 1/1 | 1/1 |
Over the last match in all competitions.
A question about Remo vs Peñarol?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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