Match

Parana vs Botafogo: result 1-2 and analysis

Serie BRegular Season - 5Kick-off on June 3, 2015 at 12:50 AM (UTC)Estádio Durival de Britto e Silva, Curitiba, Paraná

Parana
1-2
Botafogo

Full time

What was the result of Parana vs Botafogo?

Botafogo won 1-2 on June 3, 2015.

Goalscorers

  • 27′José Roberto LuciniBotafogo (o.g.)
  • 41′Fernando VianaParana (pen.)
  • 90′Rodrigo PimpãoBotafogo

Official lineup for Parana vs Botafogo

The starting elevens fielded at kick-off.

Parana

  1. 9Fernando Viana
  2. 11Henrique
  1. 5Jean Irmer
  2. 6Micerlânio Fernandes da Silva
  3. 7Washington Santana
  4. 8Edson Correia de Araujo
  5. 10Rafael Costa
  1. 2Luiz Felipe
  2. 3José Roberto Lucini
  3. 4Léo Coelho
  1. 1Murilo Prates

Botafogo

  1. 7Rodrigo Pimpão
  2. 9Bill
  3. 10Élvis
  1. 4Gilberto
  2. 5Marcelo de Mattos Terra
  3. 11Diego Jardel
  1. 2Diego da Silva Giaretta
  2. 3Renan Fonseca
  3. 6Pedro Rosa
  4. 8Willian Arão
  1. 1Renan
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Parana have 6 wins, 5 draws and 4 defeats; Botafogo have 5, 3 and 7.

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

Parana
DateOpponentScoreCompetition
May 30, 2015Bahia(away)0-1Serie B
May 23, 2015BOA(home)1-1Serie B
May 15, 2015Santa Cruz(away)1-4Serie B
May 9, 2015Ceara(home)1-0Serie B
Nov 29, 2014America-RN(home)4-1Serie B
Botafogo
DateOpponentScoreCompetition
May 30, 2015Vitoria(home)2-0Serie B
May 23, 2015Atletico Goianiense(away)0-0Serie B
May 16, 2015CRB(home)4-1Serie B
May 10, 2015Paysandu(away)1-0Serie B
Dec 7, 2014Atletico-MG(home)0-0Serie A

How many goals should we expect?

Parana score 1.2 and concede 1.0 goals per match over their last 15; Botafogo score 0.8 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Parana1.21.058/154/15
Botafogo0.81.054/153/15

Over the last 15 matches in all competitions.

A question about Parana vs Botafogo?

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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