Remo vs BOA: result 1-0 and analysis
Serie CRegular Season - 1Kick-off on April 27, 2019 at 10:15 PM (UTC)Estádio Estadual Jornalista Edgar Augusto Proença, Belém, Pará
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What was the result of Remo vs BOA?
Remo won 1-0 on April 27, 2019.
Goalscorers
- 62′Alex SandroRemo
Official lineup for Remo vs BOA
The starting elevens fielded at kick-off.
Remo
- EEmerson Carioca
- GGustavo Ramos
- DDouglas Ricardo Packer
- YYuri
- RRamires
- CCarlos Alberto
- RRafael Jansen
- RRonaell
- MMarcão
- FFredson
- VVinícius
BOA
- JJayme
- GGustavo Henrique Rodrigues
- AAllan Christian de Almeida
- CCésar Sampaio
- CClaudeci
- CChiquinho Alagoano
- FFernando
- AAnderson
- KKaio Cristian
- TTsunami
- RRenan Rocha
What is the recent form of both teams?
Over their last 15 matches in all competitions, Remo have 5 wins, 3 draws and 7 defeats; BOA have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 13, 2019 | Serra Talhada(away) | 0-1 | Copa Do Brasil |
| Aug 11, 2018 | Nautico Recife(home) | 1-1 | Serie C |
| Aug 7, 2018 | Salgueiro(away) | 1-0 | Serie C |
| Jul 29, 2018 | ABC(home) | 1-0 | Serie C |
| Jul 22, 2018 | Confiança(away) | 2-0 | Serie C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 6, 2019 | Foz Do Iguacu(away) | 0-1 | Copa Do Brasil |
| Nov 24, 2018 | Oeste(home) | 0-0 | Serie B |
| Nov 17, 2018 | Sampaio Correa(away) | 0-1 | Serie B |
| Nov 9, 2018 | Brasil DE Pelotas(home) | 0-1 | Serie B |
| Nov 6, 2018 | Ponte Preta(away) | 0-1 | Serie B |
How many goals should we expect?
Remo score 1.1 and concede 1.3 goals per match over their last 15; BOA score 0.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Remo | 1.1 | 1.3 | 5 | 6/15 | 7/15 |
| BOA | 0.5 | 1.2 | 3 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Remo vs BOA?
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