Match

Fermana vs Pordenone: result 0-0 and analysis

Serie C - Girone ARegular Season - 11Kick-off on October 29, 2017 at 01:30 PM (UTC)Stadio Bruno Recchioni, Fermo

Fermana
0-0
Pordenone

Full time

What was the result of Fermana vs Pordenone?

Fermana and Pordenone drew 0-0 on October 29, 2017.

Official lineup for Fermana vs Pordenone

The starting elevens fielded at kick-off.

Fermana

  1. 7Andrea Petrucci
  2. 17M. Sansovini
  3. 29A. Lupoli
  1. 4Gianluca Urbinati
  2. 8Alex Misin
  3. 24Roberto Grieco
  1. 5Marco Comotto
  2. 15G. Clemente
  3. 21M. Gennari
  4. 30N. Sperotto
  1. 1Mattia Valentini

Pordenone

  1. 9F. Gerardi
  2. 21G. Misuraca
  1. 5Luca Lulli
  2. 8S. Burrai
  3. 11Miguel Ángel
  4. 19R. Martignago
  1. 2G. Formiconi
  2. 3M. De Agostini
  3. 4Mirko Stefani
  4. 6G. Parodi
  1. 1S. Perilli
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What is the recent form of both teams?

Over their last 10 matches in all competitions, Fermana have 3 wins, 4 draws and 3 defeats; Pordenone have 8, 5 and 2.

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

Fermana
DateOpponentScoreCompetition
Oct 22, 2017Reggiana(away)0-0Serie C - Girone A
Oct 15, 2017Vicenza Virtus(home)0-0Serie C - Girone A
Oct 9, 2017Triestina(away)0-3Serie C - Girone A
Oct 4, 2017Bassano Virtus(home)0-1Serie C - Girone A
Oct 1, 2017Teramo(away)0-0Serie C - Girone A
Pordenone
DateOpponentScoreCompetition
Oct 22, 2017Mestre(home)2-2Serie C - Girone A
Oct 15, 2017Albinoleffe(away)1-1Serie C - Girone A
Oct 8, 2017Ravenna(home)2-1Serie C - Girone A
Oct 5, 2017Gubbio(home)2-2Serie C - Girone A
Oct 2, 2017Feralpisalo(away)0-0Serie C - Girone A

How many goals should we expect?

Fermana score 1.0 and concede 0.8 goals per match over their last 10; Pordenone score 1.8 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Fermana1.00.852/103/10
Pordenone1.81.2411/1510/15

Over the last 10 matches in all competitions.

A question about Fermana vs Pordenone?

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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