Match

Santarcangelo vs Parma: result 0-0 and analysis

Serie C - Girone ARegular Season - 3Kick-off on September 10, 2016 at 02:30 PM (UTC)Stadio Valentino Mazzola, Santarcangelo di Romagna

Santarcangelo
0-0
Parma

Full time

What was the result of Santarcangelo vs Parma?

Santarcangelo and Parma drew 0-0 on September 10, 2016.

Official lineup for Santarcangelo vs Parma

The starting elevens fielded at kick-off.

Santarcangelo

  1. 7C. Cesaretti
  2. 9S. Cori
  1. 8M. Valentini
  2. 15Francesco Posocco
  3. 10D. Dalla Bona
  4. 21C. Sirignano
  1. 3Giovanni Rossi
  2. 4R. Carlini
  3. 5D. Adorni
  4. 19Luca Oneto
  1. 22M. Nardi

Parma

  1. 9M. Nocciolini
  2. 10Y. Baraye
  3. 18E. Calaiò
  1. 8Davide Giorgino
  2. 29M. Scavone
  1. 2Michele Canini
  2. 6Alessandro Lucarelli
  3. 21L. Nunzella
  4. 26A. Coly
  5. 31Michele Messina
  1. 1K. Zommers
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What is the recent form of both teams?

Over their last 3 matches in all competitions, Santarcangelo have 2 wins, 0 draws and 1 defeat; Parma have 4, 6 and 5.

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

Santarcangelo
DateOpponentScoreCompetition
Sep 3, 2016AJ Fano(away)2-0Serie C - Girone A
Aug 27, 2016Feralpisalo(home)3-1Serie C - Girone A
Aug 27, 2016Albinoleffe(away)1-3Serie C - Girone A
Parma
DateOpponentScoreCompetition
Sep 3, 2016Lumezzane(home)1-0Serie C - Girone A
Aug 27, 2016Modena(away)0-0Serie C - Girone A
May 31, 2015Sampdoria(away)2-2Serie A
May 24, 2015Hellas Verona(home)2-2Serie A
May 18, 2015Fiorentina(away)0-3Serie A

How many goals should we expect?

Santarcangelo score 2.0 and concede 1.3 goals per match over their last 3; Parma score 0.9 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Santarcangelo2.01.312/32/3
Parma0.91.655/157/15

Over the last 3 matches in all competitions.

A question about Santarcangelo vs Parma?

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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