Botafogo PB vs Remo: result 2-0 and analysis
Serie CRegular Season - 13Kick-off on August 13, 2016 at 09:00 PM (UTC)Estádio José Américo de Almeida Filho, João Pessoa, Paraíba
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What was the result of Botafogo PB vs Remo?
Botafogo PB won 2-0 on August 13, 2016.
Goalscorers
- 36′Lucivaldo Lazaro de AbreuBotafogo PB
- 56′Rodrigo SilvaBotafogo PB
What is the recent form of both teams?
Over their last 15 matches in all competitions, Botafogo PB have 7 wins, 5 draws and 3 defeats; Remo have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2016 | ABC(away) | 1-1 | Serie C |
| Jul 31, 2016 | Cuiaba(away) | 0-2 | Serie C |
| Jul 24, 2016 | Salgueiro(home) | 2-0 | Serie C |
| Jul 20, 2016 | Ceara(away) | 0-0 | Copa Do Brasil |
| Jul 17, 2016 | Fortaleza EC(away) | 0-1 | Serie C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2016 | River AC(home) | 1-0 | Serie C |
| Jul 30, 2016 | ASA(away) | 2-2 | Serie C |
| Jul 25, 2016 | Cuiaba(home) | 2-0 | Serie C |
| Jul 16, 2016 | America-RN(away) | 1-1 | Serie C |
| Jul 10, 2016 | Fortaleza EC(home) | 2-0 | Serie C |
What does the head-to-head say?
In the last meeting: 0 Botafogo PB wins, 1 draw, 0 Remo wins.
| Date | Score | Competition |
|---|---|---|
| Jun 11, 2016 | Remo 0-0 Botafogo PB | Serie C |
How many goals should we expect?
Botafogo PB score 1.1 and concede 0.5 goals per match over their last 15; Remo score 1.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Botafogo PB | 1.1 | 0.5 | 8 | 4/15 | 2/15 |
| Remo | 1.2 | 0.9 | 5 | 7/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Botafogo PB | 6 | 1 | 2 | 3 | 2 | 5 | 5 |
A question about Botafogo PB vs Remo?
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