Match

BOA vs Tupynambás: result 1-0 and analysis

Mineiro - 1Regular Season - 11Kick-off on July 30, 2020 at 12:30 AM (UTC)Estádio Municipal Prefeito Dilzon Luiz de Melo, Varginha, Minas Gerais

BOA
1-0
Tupynambás

Full time

What was the result of BOA vs Tupynambás?

BOA won 1-0 on July 30, 2020.

Goalscorers

  • 66′Gabriel InocêncioBOA

Official lineup for BOA vs Tupynambás

The starting elevens fielded at kick-off.

BOA

  1. 3Denis Ribeiro
  2. 9Marcos Paulo
  1. 5Johnnattan Wendell da Silva Santos
  2. 8Daniel Carvalho
  3. 10Raphael Luz
  4. 11Dieguinho
  1. 2Wesley
  2. 4Yuri Ferraz
  3. 6Henrique Moura
  4. 7Gabriel Inocêncio
  1. 1Renan Rocha

Tupynambás

  1. 7Sávio
  2. 9Ygor Vinícius
  3. 11Fabio da Silva Alves
  1. 4Vinicius Leonel
  2. 5Léo Salino
  3. 8Gabriel Sá
  4. 10Bruno Vieira
  1. 2Lucas Santos
  2. 3Adriano
  3. 6Henrique Loureiro dos Santos
  1. 1Bruno Cézar Hargreaves Gonzales
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What is the recent form of both teams?

Over their last 15 matches in all competitions, BOA have 3 wins, 8 draws and 4 defeats; Tupynambás have 0, 3 and 7.

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

BOA
DateOpponentScoreCompetition
Jul 26, 2020CAP(away)1-0Mineiro - 1
Mar 15, 2020Uberlandia(home)2-2Mineiro - 1
Mar 8, 2020America Mineiro(away)1-1Mineiro - 1
Mar 5, 2020Cruzeiro(home)1-1Copa Do Brasil
Mar 1, 2020Atletico-MG(home)1-1Mineiro - 1
Tupynambás
DateOpponentScoreCompetition
Jul 26, 2020Caldense(home)0-4Mineiro - 1
Mar 15, 2020Uniao Trabalhadores(away)0-0Mineiro - 1
Mar 7, 2020CAP(home)0-4Mineiro - 1
Mar 1, 2020Coimbra(away)1-1Mineiro - 1
Feb 15, 2020Uberlandia(home)1-3Mineiro - 1

How many goals should we expect?

BOA score 0.9 and concede 1.0 goals per match over their last 15; Tupynambás score 0.6 and concede 2.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
BOA0.91.057/154/15
Tupynambás0.62.514/106/10

Over the last 15 matches in all competitions.

A question about BOA vs Tupynambás?

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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