Match

Pisa vs Gavorrano: result 0-0 and analysis

Serie C - Girone ARegular Season - 9Kick-off on October 15, 2017 at 02:30 PM (UTC)Arena Garibaldi - Stadio Romeo Anconetani, Pisa

Pisa
0-0
Gavorrano

Full time

What was the result of Pisa vs Gavorrano?

Pisa and Gavorrano drew 0-0 on October 15, 2017.

Official lineup for Pisa vs Gavorrano

The starting elevens fielded at kick-off.

Pisa

  1. 17L. Giannone
  2. 26G. Masucci
  3. 29Maikol Negro
  1. 2S. Birindelli
  2. 8D. Maltese
  3. 27R. Gucher
  4. 30A. De Vitis
  1. 3Lorenzo Filippini
  2. 4Andrea Lisuzzo
  3. 13L. Carillo
  1. 22L. Petković

Gavorrano

  1. 9Cristian Carlo Brega
  2. 11M. Malotti
  1. 21F. Conti
  2. 23Lucas Finazzi
  3. 25Leandro Vitiello
  4. 4R. Cretella
  5. 19S. Salvadori
  6. 22D. Salvalaggio
  1. 3P. Ropolo
  2. 20E. Papini
  3. 24A. Gemignani
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Pisa have 5 wins, 6 draws and 4 defeats; Gavorrano have 0, 0 and 7.

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

Pisa
DateOpponentScoreCompetition
Oct 8, 2017Lucchese(away)1-1Serie C - Girone A
Oct 4, 2017Arzachena(home)1-0Serie C - Girone A
Oct 1, 2017Prato(home)2-0Serie C - Girone A
Sep 24, 2017Cuneo(away)1-0Serie C - Girone A
Sep 17, 2017Viterbese(home)2-1Serie C - Girone A
Gavorrano
DateOpponentScoreCompetition
Oct 7, 2017Arzachena(home)1-4Serie C - Girone A
Oct 4, 2017Piacenza(away)0-3Serie C - Girone A
Oct 1, 2017Viterbese(home)0-3Serie C - Girone A
Sep 24, 2017Prato(away)0-1Serie C - Girone A
Sep 17, 2017Robur Siena(home)0-2Serie C - Girone A

How many goals should we expect?

Pisa score 0.8 and concede 0.9 goals per match over their last 15; Gavorrano score 0.4 and concede 2.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Pisa0.80.975/154/15
Gavorrano0.42.403/75/7

Over the last 15 matches in all competitions.

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Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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