Match

Parma vs Pisa: result 0-1 and analysis

Coppa Italia3rd RoundKick-off on August 12, 2018 at 06:30 PM (UTC)Stadio Ennio Tardini, Parma

Parma
0-1
Pisa

Full time

What was the result of Parma vs Pisa?

Pisa won 0-1 on August 12, 2018.

Goalscorers

  • 28′R. ZammariniPisa

Official lineup for Parma vs Pisa

The starting elevens fielded at kick-off.

Parma

4-3-3
  1. 19C. Galano
  2. 9F. Ceravolo
  3. 5L. Štulac
  1. 20A. Di Gaudio
  2. 32Luca Rigoni
  3. 17A. Barillà
  1. 3F. Dimarco
  2. 28R. Gagliolo
  3. 2Simone Iacoponi
  4. 18M. Gobbi
  1. 55L. Sepe

Pisa

3-5-2
  1. 26G. Masucci
  2. 9D. Moscardelli
  1. 5R. Zammarini
  2. 19N. Izzillo
  3. 11F. Lisi
  4. 30A. De Vitis
  5. 10D. Di Quinzio
  1. 27R. Gucher
  2. 2S. Birindelli
  3. 3F. Brignani
  1. 12M. Campani
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Parma have 11 wins, 1 draw and 3 defeats; Pisa have 5, 5 and 5.

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

Parma
DateOpponentScoreCompetition
May 18, 2018Spezia(away)2-0Serie B
May 12, 2018Bari(home)1-0Serie B
May 6, 2018Cesena(away)1-2Serie B
May 1, 2018Ternana(home)2-0Serie B
Apr 28, 2018PRO Vercelli(away)0-1Serie B
Pisa
DateOpponentScoreCompetition
Aug 5, 2018Cremonese(away)5-5Coppa Italia
Jul 29, 2018Triestina(home)3-3Coppa Italia
Apr 28, 2018Arezzo(away)0-1Serie C - Girone A
Apr 20, 2018Pontedera(home)3-1Serie C - Girone A
Apr 14, 2018Livorno(away)0-2Serie C - Girone A

How many goals should we expect?

Parma score 1.6 and concede 0.7 goals per match over their last 15; Pisa score 1.7 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Parma1.60.776/156/15
Pisa1.71.728/157/15

Over the last 15 matches in all competitions.

A question about Parma vs Pisa?

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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