Match

Piacenza vs Cuneo: result 0-1 and analysis

Serie C - Girone ARegular Season - 2Kick-off on September 3, 2017 at 02:30 PM (UTC)Stadio Leonardo Garilli, Piacenza

Piacenza
0-1
Cuneo

Full time

What was the result of Piacenza vs Cuneo?

Cuneo won 0-1 on September 3, 2017.

Goalscorers

  • 84′Simone Dell'AgnelloCuneo

Official lineup for Piacenza vs Cuneo

The starting elevens fielded at kick-off.

Piacenza

  1. 9N. Romero
  1. 8Alex Pederzoli
  2. 18S. Della Latta
  3. 25G. Zecca
  4. 26J. Scaccabarozzi
  1. 2Diego Di Cecco
  2. 4A. Pergreffi
  3. 5E. Masciangelo
  4. 6J. Silva
  5. 13Francesco Bini
  1. 1E. Fumagalli

Cuneo

  1. 9L. Zamparo
  2. 10Sebastiano Aperi
  1. 8Marco Cristini
  2. 11M. Gerbaudo
  3. 17F. Boniperti
  4. 4A. Rosso
  5. 6G. Conrotto
  6. 27F. Testoni
  1. 13Filippo Boni
  2. 23Gabriele Quitadamo
  1. 1G. Stancampiano
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Piacenza have 8 wins, 3 draws and 4 defeats; Cuneo have 0, 0 and 1.

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

Piacenza
DateOpponentScoreCompetition
Aug 27, 2017Monza(away)0-2Serie C - Girone A
Aug 12, 2017Crotone(away)1-2Coppa Italia
Aug 6, 2017Novara(away)2-1Coppa Italia
Jul 30, 2017Massese(home)1-0Coppa Italia
May 7, 2017Prato(home)3-2Serie C - Girone A
Cuneo
DateOpponentScoreCompetition
Aug 27, 2017Carrarese(home)0-1Serie C - Girone A

How many goals should we expect?

Piacenza score 1.9 and concede 1.2 goals per match over their last 15; Cuneo score 0.0 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Piacenza1.91.259/1510/15
Cuneo0.01.000/10/1

Over the last 15 matches in all competitions.

A question about Piacenza vs Cuneo?

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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