Match

Botafogo vs Juventude: result 1-1 and analysis

Copa Do Brasil3rd RoundKick-off on April 5, 2019 at 12:30 AM (UTC)Estádio Nilton Santos, Rio de Janeiro

Botafogo
1-1
Juventude

Full time

What was the result of Botafogo vs Juventude?

Botafogo and Juventude drew 1-1 on April 5, 2019.

Goalscorers

  • 19′Paulo SérgioJuventude
  • 51′ErikBotafogo (pen.)

Official lineup for Botafogo vs Juventude

The starting elevens fielded at kick-off.

Botafogo

4-2-3-1
  1. 7Diego Souza
  1. 9Rodrigo Pimpão
  2. 10João Paulo
  3. 11Erik
  1. 8Cícero
  2. 5Alex Santana
  1. 6Jonathan Silva
  2. 2Gabriel
  3. 3Marcelo Benevenuto
  4. 4Marcinho
  1. 1R. Fernández

Juventude

4-1-4-1
  1. 9Paulo Sérgio
  1. 11Dalberto
  2. 5Moisés
  3. 10Denner
  4. 7Lennon
  1. 8Rafael
  1. 6Eltinho
  2. 3Sidimar
  3. 4Genilson
  4. 2Vidal
  1. 1Marcelo Carne
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Botafogo have 9 wins, 3 draws and 3 defeats; Juventude have 4, 1 and 10.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Botafogo
DateOpponentScoreCompetition
Feb 28, 2019Cuiaba(home)3-0Copa Do Brasil
Feb 21, 2019Defensa Y Justicia(away)3-0CONMEBOL Sudamericana
Feb 13, 2019Campinense(away)2-0Copa Do Brasil
Feb 6, 2019Defensa Y Justicia(home)1-0CONMEBOL Sudamericana
Dec 1, 2018Atletico-MG(away)0-1Serie A
Juventude
DateOpponentScoreCompetition
Mar 1, 2019America Mineiro(home)2-1Copa Do Brasil
Feb 6, 2019Palmas(away)1-0Copa Do Brasil
Nov 24, 2018CSA(home)0-4Serie B
Nov 15, 2018Fortaleza EC(away)1-4Serie B
Nov 9, 2018Ponte Preta(home)0-1Serie B

How many goals should we expect?

Botafogo score 1.3 and concede 0.5 goals per match over their last 15; Juventude score 0.7 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Botafogo1.30.585/155/15
Juventude0.71.644/155/15

Over the last 15 matches in all competitions.

A question about Botafogo vs Juventude?

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

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