Match

Parma vs Ascoli: result 4-0 and analysis

Serie BRegular Season - 15Kick-off on November 18, 2017 at 02:00 PM (UTC)Stadio Ennio Tardini, Parma

Parma
4-0
Ascoli

Full time

What was the result of Parma vs Ascoli?

Parma won 4-0 on November 18, 2017.

Goalscorers

  • 6′Simone IacoponiParma
  • 74′I. LanniParma (o.g.)
  • 87′Y. BarayeParma
  • 90′G. MunariParma

Official lineup for Parma vs Ascoli

The starting elevens fielded at kick-off.

Parma

4-3-3
  1. 19R. Insigne
  2. 18M. Nocciolini
  3. 29M. Scavone
  1. 20A. Di Gaudio
  2. 21M. Scozzarella
  3. 33J. Dezi
  1. 7P. Mazzocchi
  2. 28R. Gagliolo
  3. 2Simone Iacoponi
  4. 6Alessandro Lucarelli
  1. 1P. Frattali

Ascoli

4-3-3
  1. 30A. Favilli
  2. 29E. Baldini
  3. 26G. Pinto
  1. 8G. Carpani
  2. 10I. Lores
  3. 19B. Addae
  1. 6T. Bianchi
  2. 4I. De Santis
  3. 14V. Mogoș
  4. 13G. Gigliotti
  1. 1I. Lanni
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Parma have 7 wins, 2 draws and 6 defeats; Ascoli have 3, 4 and 8.

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

Parma
DateOpponentScoreCompetition
Nov 12, 2017Cittadella(away)2-1Serie B
Nov 4, 2017Frosinone(away)1-2Serie B
Oct 29, 2017Avellino(home)2-0Serie B
Oct 24, 2017Foggia(away)3-0Serie B
Oct 21, 2017Virtus Entella(home)3-1Serie B
Ascoli
DateOpponentScoreCompetition
Nov 12, 2017Foggia(home)0-2Serie B
Nov 4, 2017Carpi(away)2-4Serie B
Oct 28, 2017Bari(away)0-3Serie B
Oct 24, 2017Spezia(home)3-1Serie B
Oct 21, 2017Ternana(away)1-1Serie B

How many goals should we expect?

Parma score 1.3 and concede 1.1 goals per match over their last 15; Ascoli score 1.1 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Parma1.31.157/158/15
Ascoli1.11.747/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
5Ascoli63217411

A question about Parma vs Ascoli?

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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