Match

Monza vs Juventus: result 1-2 and analysis

Friendlies ClubsClub Friendlies 1Kick-off on July 31, 2021 at 12:00 AM (UTC)U-Power Stadium, Monza

Monza
1-2
Juventus

Full time

What was the result of Monza vs Juventus?

Juventus won 1-2 on July 31, 2021.

Goalscorers

  • 13′F. RanocchiaJuventus
  • 53′D. KulusevskiJuventus
  • 87′M. D'AlessandroMonza

Official lineup for Monza vs Juventus

The starting elevens fielded at kick-off.

Monza

  1. 9C. Gytkjær
  2. 77M. D'Alessandro
  1. 7José Machín
  2. 17A. Barillà
  3. 33M. Brescianini
  1. 5L. Caldirola
  2. 6G. Bellusci
  3. 13Pedro Pereira
  4. 30Carlos Augusto
  5. 31M. Sampirisi
  1. 16M. Di Gregorio

Juventus

  1. 46M. Soulé
  2. 53A. Brighenti
  1. 8A. Ramsey
  2. 25A. Rabiot
  3. 42F. Ranocchia
  4. 44D. Kulusevski
  1. 2M. De Sciglio
  2. 4M. de Ligt
  3. 17L. Pellegrini
  4. 28M. Demiral
  1. 1W. Szczęsny
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Monza have 8 wins, 2 draws and 5 defeats; Juventus have 10, 2 and 3.

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

Monza
DateOpponentScoreCompetition
Jul 24, 2021Pro Sesto(home)3-0Friendlies Clubs
May 20, 2021Cittadella(home)2-0Serie B
May 17, 2021Cittadella(away)0-3Serie B
May 10, 2021Brescia(home)0-2Serie B
May 7, 2021Cosenza(away)3-0Serie B
Juventus
DateOpponentScoreCompetition
Jul 24, 2021Cesena(home)3-1Friendlies Clubs
May 23, 2021Bologna(away)4-1Serie A
May 19, 2021Atalanta(away)2-1Coppa Italia
May 15, 2021Inter(home)3-2Serie A
May 12, 2021Sassuolo(away)3-1Serie A

How many goals should we expect?

Monza score 1.4 and concede 1.0 goals per match over their last 15; Juventus score 2.1 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Monza1.41.065/156/15
Juventus2.11.3012/1512/15

Over the last 15 matches in all competitions.

A question about Monza vs Juventus?

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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