Match

Juventus U20 vs Osasco Audax U20: result 1-0 and analysis

Paulista - U201st Phase - 10Kick-off on July 4, 2025 at 06:00 PM (UTC)Estádio Conde Rodolfo Crespi, São Paulo, São Paulo

Juventus U20
1-0
Osasco Audax U20

Full time

What was the result of Juventus U20 vs Osasco Audax U20?

Juventus U20 won 1-0 on July 4, 2025.

Goalscorers

  • 26′?Juventus U20

What is the recent form of both teams?

Over their last 15 matches in all competitions, Juventus U20 have 8 wins, 3 draws and 4 defeats; Osasco Audax U20 have 7, 4 and 4.

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

Juventus U20
DateOpponentScoreCompetition
Jun 27, 2025São José EC U20(away)2-0Paulista - U20
Jun 20, 2025Sfera U20(away)1-0Paulista - U20
Jun 6, 2025Itapirense U20(home)1-0Paulista - U20
May 30, 2025Velo Clube U20(away)1-2Paulista - U20
May 23, 2025Aguai U20(home)0-0Paulista - U20
Osasco Audax U20
DateOpponentScoreCompetition
Jun 27, 2025São Caetano U20(home)1-1Paulista - U20
Jun 20, 2025Velo Clube U20(away)2-2Paulista - U20
Jun 6, 2025Sfera U20(home)3-0Paulista - U20
May 30, 2025Aguai U20(away)0-0Paulista - U20
May 23, 2025EC São Bernardo U20(home)2-4Paulista - U20

How many goals should we expect?

Juventus U20 score 1.2 and concede 0.7 goals per match over their last 15; Osasco Audax U20 score 1.6 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Juventus U201.20.7103/154/15
Osasco Audax U201.61.385/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Juventus U20 sit 1st in Paulista - U20 (3 points from 1 match) and Osasco Audax U20 sit 10th (1 point from 2 matches).

2026 standings
#ClubPWDLGFGAPts
1Juventus U20Group 11100303
10Osasco Audax U20Group 32011011

A question about Juventus U20 vs Osasco Audax U20?

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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