Match

Prato vs Piacenza: result 1-0 and analysis

Serie C - Girone ARegular Season - 19Kick-off on December 18, 2016 at 01:30 PM (UTC)Stadio Lungobisenzio, Prato

Prato
1-0
Piacenza

Full time

What was the result of Prato vs Piacenza?

Prato won 1-0 on December 18, 2016.

Goalscorers

  • 63′G. TomiPrato

Official lineup for Prato vs Piacenza

The starting elevens fielded at kick-off.

Prato

  1. 9G. Moncini
  2. 11D. Di Molfetta
  3. 16A. Sowe
  4. 19M. Malotti
  1. 20Luca Checchin
  2. 2F. Catacchini
  3. 8D. Carcuro
  4. 23D. Ghidotti
  1. 14F. Danese
  2. 29G. Tomi
  1. 1R. Melgrati

Piacenza

  1. 5A. Taugourdeau
  2. 11S. Hraiech
  3. 7L. Matteassi
  4. 8A. Cazzamalli
  5. 9A. Razzitti
  6. 23S. Franchi
  1. 3G. Sciacca
  2. 4A. Pergreffi
  3. 6J. Silva
  4. 14Giuseppe Agostinone
  1. 1M. Miori
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Prato have 2 wins, 1 draw and 12 defeats; Piacenza have 7, 3 and 5.

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

Prato
DateOpponentScoreCompetition
Dec 11, 2016Giana Erminio(away)0-0Serie C - Girone A
Dec 7, 2016Arezzo(home)1-2Serie C - Girone A
Dec 3, 2016Cremonese(away)1-5Serie C - Girone A
Nov 27, 2016Alessandria(home)0-1Serie C - Girone A
Nov 20, 2016Olbia(away)2-1Serie C - Girone A
Piacenza
DateOpponentScoreCompetition
Dec 11, 2016Pontedera(home)1-0Serie C - Girone A
Dec 7, 2016Livorno(away)2-2Serie C - Girone A
Dec 4, 2016Racing Roma(home)1-4Serie C - Girone A
Nov 27, 2016PRO Piacenza(away)1-0Serie C - Girone A
Nov 20, 2016Giana Erminio(home)0-1Serie C - Girone A

How many goals should we expect?

Prato score 0.5 and concede 2.1 goals per match over their last 15; Piacenza score 1.2 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Prato0.52.126/158/15
Piacenza1.21.148/158/15

Over the last 15 matches in all competitions.

A question about Prato vs Piacenza?

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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