Match

Fermana vs Pistoiese: result 1-0 and analysis

Serie C - Girone BGirone B - 14Kick-off on November 14, 2021 at 01:30 PM (UTC)Stadio Bruno Recchioni, Fermo

Fermana
1-0
Pistoiese

Full time

What was the result of Fermana vs Pistoiese?

Fermana won 1-0 on November 14, 2021.

Goalscorers

  • 38′O. PannitteriFermana

Official lineup for Fermana vs Pistoiese

The starting elevens fielded at kick-off.

Fermana

  1. 7Ettore Marchi
  2. 9Luca Cognigni
  3. 77O. Pannitteri
  1. 24M. M'Baye
  2. 25G. Graziano
  3. 1P. Ginestra
  1. 2S. Rossoni
  2. 14E. Scrosta
  3. 21F. Rodio
  4. 23M. Alagna
  5. 99E. Blondett

Pistoiese

  1. 9M. Vano
  2. 11A. Romano
  3. 20L. Pinzauti
  1. 4S. Santoro
  2. 8F. Castellano
  1. 6Minel Sabotic
  2. 13L. Ricci
  3. 21M. Gennari
  4. 33A. Martina
  5. 42L. Moretti
  1. 22G. Crespi
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Fermana have 3 wins, 4 draws and 8 defeats; Pistoiese have 3, 4 and 8.

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

Fermana
DateOpponentScoreCompetition
Nov 7, 2021Teramo(away)2-3Serie C - Girone B
Oct 31, 2021Pontedera(home)1-0Serie C - Girone B
Oct 23, 2021Ancona(away)2-1Serie C - Girone B
Oct 19, 2021Lucchese(home)0-0Serie C - Girone B
Oct 16, 2021Pescara(away)1-2Serie C - Girone B
Pistoiese
DateOpponentScoreCompetition
Nov 7, 2021Viterbese(home)2-1Serie C - Girone B
Oct 31, 2021Cesena(away)0-0Serie C - Girone B
Oct 24, 2021Montevarchi Calcio(home)2-0Serie C - Girone B
Oct 19, 2021Imolese(away)1-1Serie C - Girone B
Oct 16, 2021Carrarese(away)0-1Serie C - Girone B

How many goals should we expect?

Fermana score 0.9 and concede 1.4 goals per match over their last 15; Pistoiese score 0.8 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Fermana0.91.436/155/15
Pistoiese0.81.546/155/15

Over the last 15 matches in all competitions.

A question about Fermana vs Pistoiese?

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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