Match

Monte Azul vs Juventus: result 1-1 and analysis

Paulista - A21st Phase - 13Kick-off on March 1, 2023 at 06:00 PM (UTC)Estádio Otacília Patrício Arroyo, Monte Azul Paulista, São Paulo

Monte Azul
1-1
Juventus

Full time

What was the result of Monte Azul vs Juventus?

Monte Azul and Juventus drew 1-1 on March 1, 2023.

Goalscorers

  • 27′LucasMonte Azul
  • 37′Bruno GeneralJuventus (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, Monte Azul have 2 wins, 5 draws and 8 defeats; Juventus have 4, 6 and 5.

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

Monte Azul
DateOpponentScoreCompetition
Feb 25, 2023XV de Piracicaba(away)0-1Paulista - A2
Feb 19, 2023Noroeste(away)3-1Paulista - A2
Feb 15, 2023Comercial(home)1-1Paulista - A2
Feb 11, 2023Portuguesa Santista(away)2-4Paulista - A2
Feb 8, 2023Primavera SP(home)1-3Paulista - A2
Juventus
DateOpponentScoreCompetition
Feb 25, 2023Portuguesa Santista(home)1-1Paulista - A2
Feb 19, 2023Velo Clube(away)0-1Paulista - A2
Feb 15, 2023Oeste(home)1-2Paulista - A2
Feb 12, 2023Taubaté(away)3-2Paulista - A2
Feb 8, 2023Comercial(home)1-2Paulista - A2

What does the head-to-head say?

Across the last 3 meetings: 1 Monte Azul win(s), 2 draw(s), 0 Juventus win(s).

DateScoreCompetition
Mar 6, 2022Monte Azul 2-1 JuventusPaulista - A2
Mar 10, 2021Juventus 0-0 Monte AzulPaulista - A2
Jan 29, 2020Monte Azul 1-1 JuventusPaulista - A2

Last archived meeting: Monte Azul vs Juventus on Mar 6, 2022

How many goals should we expect?

Monte Azul score 1.1 and concede 2.0 goals per match over their last 15; Juventus score 1.2 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Monte Azul1.12.0011/159/15
Juventus1.21.158/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Monte Azul sit 14th in Paulista - A2 (12 points from 15 matches) and Juventus sit 7th (23 points from 15 matches).

2026 standings
#ClubPWDLGFGAPts
7Juventus15654222023
14Monte Azul15267172212

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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