Match

Juventus U19 vs Atalanta U19: result 3-3 and analysis

Campionato Primavera - 1Regular Season - 16Kick-off on March 20, 2021 at 04:00 PM (UTC)Juventus Training Center, Vinovo

Juventus U19
3-3
Atalanta U19

Full time

What was the result of Juventus U19 vs Atalanta U19?

Juventus U19 and Atalanta U19 drew 3-3 on March 20, 2021.

Goalscorers

  • 5′?Atalanta U19
  • 24′?Atalanta U19
  • 47′?Juventus U19
  • 69′?Juventus U19
  • 84′?Atalanta U19
  • 89′?Juventus U19

What is the recent form of both teams?

Over their last 15 matches in all competitions, Juventus U19 have 7 wins, 3 draws and 5 defeats; Atalanta U19 have 6, 3 and 6.

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

Juventus U19
DateOpponentScoreCompetition
Mar 17, 2021Fiorentina U19(away)1-3Coppa Italia Primavera
Mar 13, 2021Cagliari U19(away)0-3Campionato Primavera - 1
Mar 9, 2021Torino U19(home)4-2Campionato Primavera - 1
Mar 6, 2021SPAL U19(away)0-1Campionato Primavera - 1
Feb 26, 2021Fiorentina U19(home)3-0Campionato Primavera - 1
Atalanta U19
DateOpponentScoreCompetition
Mar 13, 2021Internazionale U19(away)0-0Campionato Primavera - 1
Mar 10, 2021Ascoli U19(home)3-1Campionato Primavera - 1
Mar 6, 2021Genoa U19(away)0-2Campionato Primavera - 1
Feb 26, 2021SPAL U19(home)0-1Campionato Primavera - 1
Feb 21, 2021Lazio U19(home)3-0Campionato Primavera - 1

What does the head-to-head say?

In the last meeting: 0 Juventus U19 wins, 1 draw, 0 Atalanta U19 wins.

DateScoreCompetition
Sep 20, 2020Atalanta U19 1-1 Juventus U19Campionato Primavera - 1

Last archived meeting: Atalanta U19 vs Juventus U19 on Sep 20, 2020

How many goals should we expect?

Juventus U19 score 1.8 and concede 1.5 goals per match over their last 15; Atalanta U19 score 1.8 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Juventus U191.81.558/1511/15
Atalanta U191.81.739/1512/15

Over the last 15 matches in all competitions.

A question about Juventus U19 vs Atalanta U19?

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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