Match

Ancona vs Parma: result 2-1 and analysis

Serie C - Girone ARegular Season - 15Kick-off on November 26, 2016 at 03:30 PM (UTC)Stadio del Conero, Ancona

Ancona
2-1
Parma

Full time

What was the result of Ancona vs Parma?

Ancona won 2-1 on November 26, 2016.

Goalscorers

  • 6′M. DaffaraAncona
  • 11′M. NoccioliniParma
  • 69′M. FredianiAncona

Official lineup for Ancona vs Parma

The starting elevens fielded at kick-off.

Ancona

  1. 11E. De Silvestro
  2. 20Falou Samb
  1. 5Luca Gelonese
  2. 7M. Frediani
  3. 10Daniel Kofi Agyei
  4. 26E. Zampa
  5. 17D. Moi
  1. 13L. Ricci
  2. 16M. Daffara
  3. 27D. Forgács
  1. 1Tommaso Scuffia

Parma

  1. 9M. Nocciolini
  2. 11D. Melandri
  3. 18E. Calaiò
  1. 4Francesco Corapi
  2. 8Davide Giorgino
  3. 29M. Scavone
  1. 2Michele Canini
  2. 6Alessandro Lucarelli
  3. 20M. Benassi
  4. 21L. Nunzella
  1. 1K. Zommers
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Ancona have 2 wins, 6 draws and 7 defeats; Parma have 7, 5 and 3.

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

Ancona
DateOpponentScoreCompetition
Nov 19, 2016Teramo(away)2-3Serie C - Girone A
Nov 12, 2016Lumezzane(home)0-1Serie C - Girone A
Nov 5, 2016Sudtirol(away)1-1Serie C - Girone A
Oct 29, 2016Pordenone(away)0-0Serie C - Girone A
Oct 22, 2016Gubbio(home)0-2Serie C - Girone A
Parma
DateOpponentScoreCompetition
Nov 19, 2016Padova(home)1-4Serie C - Girone A
Nov 12, 2016Maceratese(away)0-0Serie C - Girone A
Nov 5, 2016Gubbio(home)3-1Serie C - Girone A
Oct 29, 2016AJ Fano(away)1-0Serie C - Girone A
Oct 22, 2016Mantova(home)1-0Serie C - Girone A

How many goals should we expect?

Ancona score 0.5 and concede 1.2 goals per match over their last 15; Parma score 1.5 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ancona0.51.255/153/15
Parma1.51.278/158/15

Over the last 15 matches in all competitions.

A question about Ancona vs Parma?

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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