Match

Spal vs Fiorentina: result 1-1 and analysis

Serie ARegular Season - 13Kick-off on November 19, 2017 at 02:00 PM (UTC)Stadio Paolo Mazza, Ferrara

Spal
1-1
Fiorentina

Full time

What was the result of Spal vs Fiorentina?

Spal and Fiorentina drew 1-1 on November 19, 2017.

Goalscorers

  • 42′A. PaloschiSpal
  • 80′F. ChiesaFiorentina

Official lineup for Spal vs Fiorentina

The starting elevens fielded at kick-off.

Spal

3-5-2
  1. 43A. Paloschi
  2. 22Marco Borriello
  1. 29M. Lazzari
  2. 88A. Grassi
  3. 77F. Viviani
  4. 28P. Schiattarella
  5. 23F. Vicari
  1. 14F. Mattiello
  2. 21B. Salamon
  3. 27Felipe
  1. 1A. Gomis

Fiorentina

4-3-3
  1. 25F. Chiesa
  2. 28Gil Dias
  3. 9G. Simeone
  1. 24M. Benassi
  2. 17J. Veretout
  3. 6C. Sánchez
  1. 76Bruno Gaspar
  2. 20G. Pezzella
  3. 15M. Olivera
  4. 13Davide Astori
  1. 57M. Sportiello
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What is the recent form of both teams?

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

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

Spal
DateOpponentScoreCompetition
Nov 5, 2017Atalanta(away)1-1Serie A
Oct 29, 2017Genoa(home)1-0Serie A
Oct 25, 2017Juventus(away)1-4Serie A
Oct 22, 2017Sassuolo(home)0-1Serie A
Oct 15, 2017Bologna(away)1-2Serie A
Fiorentina
DateOpponentScoreCompetition
Nov 5, 2017AS Roma(home)2-4Serie A
Oct 29, 2017Crotone(away)1-2Serie A
Oct 25, 2017Torino(home)3-0Serie A
Oct 22, 2017Benevento(away)3-0Serie A
Oct 15, 2017Udinese(home)2-1Serie A

How many goals should we expect?

Spal score 0.9 and concede 1.5 goals per match over their last 15; Fiorentina score 1.8 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Spal0.91.538/156/15
Fiorentina1.81.7310/1513/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
19Fiorentina61147144

A question about Spal vs Fiorentina?

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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