Match

Serbia vs Brazil: result 0-2 and analysis

World CupGroup Stage - 3Kick-off on June 27, 2018 at 06:00 PM (UTC)Stadion Rajko Mitić, Beograd

Serbia
0-2
Brazil

Full time

What was the result of Serbia vs Brazil?

Brazil won 0-2 on June 27, 2018.

Goalscorers

  • 36′PaulinhoBrazil
  • 68′Thiago SilvaBrazil

Official lineup for Serbia vs Brazil

The starting elevens fielded at kick-off.

Serbia

4-2-3-1
  1. 9A. Mitrović
  1. 10D. Tadić
  2. 20S. Milinković-Savić
  3. 17F. Kostić
  1. 22A. Ljajić
  2. 21N. Matić
  1. 15N. Milenković
  2. 13M. Veljković
  3. 2Antonio Rukavina
  4. 11A. Kolarov
  1. 1V. Stojković

Brazil

4-3-3
  1. 9Gabriel Jesus
  2. 10Neymar
  3. 19Willian
  1. 5Casemiro
  2. 11Philippe Coutinho
  3. 15Paulinho
  1. 12Marcelo
  2. 22Fágner
  3. 2Thiago Silva
  4. 3Miranda
  1. 1Alisson Becker
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Serbia have 8 wins, 3 draws and 4 defeats; Brazil have 10, 4 and 1.

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

Serbia
DateOpponentScoreCompetition
Jun 22, 2018Switzerland(home)1-2World Cup
Jun 17, 2018Costa Rica(away)1-0World Cup
Jun 9, 2018Bolivia(home)5-1Friendlies
Jun 4, 2018Chile(home)0-1Friendlies
Mar 27, 2018Nigeria(away)2-0Friendlies
Brazil
DateOpponentScoreCompetition
Jun 22, 2018Costa Rica(home)2-0World Cup
Jun 17, 2018Switzerland(home)1-1World Cup
Jun 10, 2018Austria(away)3-0Friendlies
Jun 3, 2018Croatia(home)2-0Friendlies
Mar 27, 2018Germany(away)1-0Friendlies

How many goals should we expect?

Serbia score 1.6 and concede 0.8 goals per match over their last 15; Brazil score 1.9 and concede 0.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Serbia1.60.877/156/15
Brazil1.90.3113/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
1Brazil2110414

A question about Serbia vs Brazil?

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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