Match

Carrarese vs Juventus U23: result 4-0 and analysis

Serie C - Girone AGirone A - 2Kick-off on September 24, 2018 at 06:45 PM (UTC)Stadio dei Marmi, Carrara

Carrarese
4-0
Juventus U23

Full time

What was the result of Carrarese vs Juventus U23?

Carrarese won 4-0 on September 24, 2018.

Goalscorers

  • 15′K. PiscopoCarrarese
  • 45′K. PiscopoCarrarese
  • 52′F. TavanoCarrarese
  • 87′G. CaccavalloCarrarese

Official lineup for Carrarese vs Juventus U23

The starting elevens fielded at kick-off.

Carrarese

  1. 7Massimo Maccarone
  2. 10F. Tavano
  3. 19K. Piscopo
  4. 30N. Valente
  1. 4Daniel Kofi Agyei
  2. 17G. Foresta
  3. 21C. Cardoselli
  1. 2L. Carissoni
  2. 13L. Ricci
  3. 23G. Ricci
  1. 22D. Borra

Juventus U23

  1. 9C. Bunino
  2. 11S. Mavididi
  3. 17L. Zanimacchia
  1. 6I. Touré
  2. 7S. Emmanuello
  3. 8G. Kastanos
  1. 2M. Andersson
  2. 3C. Zappa
  3. 4G. Zanandrea
  4. 19G. Morelli
  1. 1M. Del Favero
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Carrarese have 7 wins, 5 draws and 3 defeats; Juventus U23 have 0, 0 and 1.

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

Carrarese
DateOpponentScoreCompetition
Sep 16, 2018Arzachena(away)5-1Serie C - Girone A
Jul 29, 2018Imolese(home)0-1Coppa Italia
May 5, 2018Arezzo(home)0-1Serie C - Girone A
Apr 28, 2018Livorno(away)1-1Serie C - Girone A
Apr 21, 2018Pistoiese(home)1-1Serie C - Girone A
Juventus U23
DateOpponentScoreCompetition
Sep 16, 2018Alessandria(home)1-2Serie C - Girone A

How many goals should we expect?

Carrarese score 1.7 and concede 0.9 goals per match over their last 15; Juventus U23 score 1.0 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Carrarese1.70.966/155/15
Juventus U231.02.001/11/1

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
17Juventus U2312255121911

A question about Carrarese vs Juventus U23?

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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