Match

Pisa vs Juventus: result 0-2 and analysis

Serie ARegular Season - 17Kick-off on December 27, 2025 at 07:45 PM (UTC)Arena Garibaldi - Stadio Romeo Anconetani, Pisa

Pisa
0-2
Juventus

Full time

What was the result of Pisa vs Juventus?

Juventus won 0-2 on December 27, 2025.

Goalscorers

  • 73′P. KaluluJuventus
  • 90′K. YıldızJuventus

Official lineup for Pisa vs Juventus

The starting elevens fielded at kick-off.

Pisa

3-5-2
  1. 10M. Tramoni
  2. 32S. Moreo
  1. 3S. Angori
  2. 21İ. Vural
  3. 20M. Aebischer
  4. 7M. Léris
  5. 15I. Touré
  1. 5S. Canestrelli
  2. 4A. Caracciolo
  3. 33A. Calabresi
  1. 1A. Šemper

Juventus

3-4-2-1
  1. 20L. Openda
  1. 10K. Yıldız
  2. 8T. Koopmeiners
  1. 22W. McKennie
  2. 19K. Thuram
  3. 5M. Locatelli
  4. 27A. Cambiaso
  1. 6L. Kelly
  2. 3Bremer
  3. 15P. Kalulu
  1. 16M. Di Gregorio
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Pisa have 1 win, 7 draws and 7 defeats; Juventus have 8, 3 and 4.

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

Pisa
DateOpponentScoreCompetition
Dec 21, 2025Cagliari(away)2-2Serie A
Dec 12, 2025Lecce(away)0-1Serie A
Dec 8, 2025Parma(home)0-1Serie A
Nov 30, 2025Inter(home)0-2Serie A
Nov 24, 2025Sassuolo(away)2-2Serie A
Juventus
DateOpponentScoreCompetition
Dec 20, 2025AS Roma(home)2-1Serie A
Dec 14, 2025Bologna(away)1-0Serie A
Dec 10, 2025Pafos(home)2-0UEFA Champions League
Dec 7, 2025Napoli(away)1-2Serie A
Dec 2, 2025Udinese(home)2-0Coppa Italia

How many goals should we expect?

Pisa score 0.7 and concede 1.4 goals per match over their last 15; Juventus score 1.3 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Pisa0.71.445/156/15
Juventus1.30.948/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
6Juventus63219511

A question about Pisa 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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