Remo vs Manaus FC: result 1-0 and analysis
Serie CMatchday 8Kick-off on September 27, 2020 at 09:00 PM (UTC)Estádio Estadual Jornalista Edgar Augusto Proença, Belém, Pará
Full time
What was the result of Remo vs Manaus FC?
Remo won 1-0 on September 27, 2020.
Goalscorers
- 81′WallaceRemo
Official lineup for Remo vs Manaus FC
The starting elevens fielded at kick-off.
Remo
- TTcharlles
- HHélio Borges
- EEduardo Ramos
- CCharles
- CCarlos Alberto
- MMarlon
- RRafael Jansen
- FFredson
- RRicardo Luz
- LLucas Siqueira
- VVinícius
Manaus FC
- PPaulinho Simionato
- RRodrigo Fumaça
- JJanderson
- JJaneudo
- DDerlan
- GGabriel Davis
- PPatrick Borges
- EEdvan
- TThiago Spice
- LLuis Fernando
- JJonathan
What is the recent form of both teams?
Over their last 15 matches in all competitions, Remo have 6 wins, 6 draws and 3 defeats; Manaus FC have 5, 8 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2020 | Botafogo PB(home) | 0-0 | Serie C |
| Sep 13, 2020 | Santa Cruz(away) | 0-1 | Serie C |
| Sep 10, 2020 | Treze(away) | 2-2 | Serie C |
| Sep 6, 2020 | Paysandu(home) | 0-1 | Paraense |
| Sep 2, 2020 | Paysandu(away) | 1-2 | Paraense |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2020 | Santa Cruz(home) | 0-0 | Serie C |
| Sep 14, 2020 | Treze(home) | 1-1 | Serie C |
| Sep 6, 2020 | Ferroviario(away) | 1-1 | Serie C |
| Aug 30, 2020 | Paysandu(home) | 2-1 | Serie C |
| Aug 22, 2020 | Jacuipense(away) | 0-1 | Serie C |
How many goals should we expect?
Remo score 1.2 and concede 0.8 goals per match over their last 15; Manaus FC score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Remo | 1.2 | 0.8 | 6 | 7/15 | 6/15 |
| Manaus FC | 1.3 | 0.7 | 5 | 8/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Remo vs Manaus FC?
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