Match

Prato vs PRO Piacenza: result 1-0 and analysis

Serie C - Girone ARegular Season - 9Kick-off on October 16, 2016 at 12:30 PM (UTC)Stadio Lungobisenzio, Prato

Prato
1-0
PRO Piacenza

Full time

What was the result of Prato vs PRO Piacenza?

Prato won 1-0 on October 16, 2016.

Goalscorers

  • 28′R. OgunseyePrato

Official lineup for Prato vs PRO Piacenza

The starting elevens fielded at kick-off.

Prato

  1. 6A. Romano
  2. 16A. Sowe
  3. 18R. Ogunseye
  1. 20Luca Checchin
  2. 2F. Catacchini
  3. 8D. Carcuro
  4. 23D. Ghidotti
  1. 5R. Martinelli
  2. 14F. Danese
  3. 32A. Beduschi
  1. 1R. Melgrati

PRO Piacenza

  1. 9Massimiliano Pesenti
  2. 23Daniele Bazzoffia
  1. 8Jonathan Aspas Juncal
  2. 16Riccardo Rossini
  3. 17L. Marchionni
  4. 3A. Sane
  5. 7G. Cavalli
  6. 11D. Cardin
  1. 4Francesco Bini
  2. 5Dembel Sall
  1. 1E. Fumagalli
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What is the recent form of both teams?

Over their last 8 matches in all competitions, Prato have 0 wins, 2 draws and 6 defeats; PRO Piacenza have 2, 0 and 6.

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

Prato
DateOpponentScoreCompetition
Oct 9, 2016Como(home)0-1Serie C - Girone A
Oct 2, 2016Renate(away)0-2Serie C - Girone A
Sep 25, 2016Robur Siena(home)1-2Serie C - Girone A
Sep 18, 2016Viterbese(away)0-2Serie C - Girone A
Sep 14, 2016Carrarese(away)0-4Serie C - Girone A
PRO Piacenza
DateOpponentScoreCompetition
Oct 9, 2016Carrarese(home)0-1Serie C - Girone A
Oct 2, 2016Arezzo(away)0-1Serie C - Girone A
Sep 25, 2016Pontedera(home)1-0Serie C - Girone A
Sep 18, 2016Renate(away)0-1Serie C - Girone A
Sep 14, 2016Olbia(away)0-1Serie C - Girone A

How many goals should we expect?

Prato score 0.6 and concede 2.0 goals per match over their last 8; PRO Piacenza score 0.6 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Prato0.62.003/84/8
PRO Piacenza0.61.112/82/8

Over the last 8 matches in all competitions.

A question about Prato vs PRO Piacenza?

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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