Match

Spal vs Fermana: result 0-0 and analysis

Serie C - Girone BGirone B - 8Kick-off on October 15, 2023 at 04:30 PM (UTC)Stadio Paolo Mazza, Ferrara

Spal
0-0
Fermana

Full time

What was the result of Spal vs Fermana?

Spal and Fermana drew 0-0 on October 15, 2023.

Official lineup for Spal vs Fermana

The starting elevens fielded at kick-off.

Spal

  1. 7M. Antenucci
  2. 19N. Dalmonte
  1. 5N. Contiliano
  2. 8R. Collodel
  3. 25M. Carraro
  4. 26L. Siligardi
  1. 3M. Bruscagin
  2. 4N. Valentini
  3. 21R. Celia
  4. 23M. Arena
  1. 1E. Alfonso

Fermana

  1. 9D. Curatolo
  2. 26G. Misuraca
  3. 70M. Semprini
  1. 8C. Scorza
  2. 10R. Pinzi
  3. 20M. Giandonato
  1. 2A. Eleuteri
  2. 5J. Spedalieri
  3. 27M. Calderoni
  4. 30L. Laverone
  1. 1N. Borghetto
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Spal have 5 wins, 4 draws and 6 defeats; Fermana have 2, 5 and 8.

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

Spal
DateOpponentScoreCompetition
Oct 11, 2023Lucchese(home)2-2Serie C - Girone B
Oct 8, 2023Pescara(home)1-2Serie C - Girone B
Oct 5, 2023Sestri Levante(home)2-0Coppa Italia Serie C
Oct 1, 2023Recanatese(away)0-1Serie C - Girone B
Sep 27, 2023Cesena(away)1-3Serie C - Girone B
Fermana
DateOpponentScoreCompetition
Oct 9, 2023Perugia(home)0-2Serie C - Girone B
Oct 5, 2023Pescara(away)1-6Coppa Italia Serie C
Oct 2, 2023Vis Pesaro(away)2-2Serie C - Girone B
Sep 23, 2023Cesena(home)0-4Serie C - Girone B
Sep 19, 2023Recanatese(home)0-1Serie C - Girone B

How many goals should we expect?

Spal score 1.2 and concede 1.1 goals per match over their last 15; Fermana score 0.8 and concede 2.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Spal1.21.158/157/15
Fermana0.82.127/157/15

Over the last 15 matches in all competitions.

A question about Spal vs Fermana?

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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