Match

Feralpisalo vs Imolese: result 0-1 and analysis

Serie C - Girone BGirone B - 16Kick-off on December 11, 2018 at 07:30 PM (UTC)Stadio Leonardo Garilli, Piacenza

Feralpisalo
0-1
Imolese

Full time

What was the result of Feralpisalo vs Imolese?

Imolese won 0-1 on December 11, 2018.

Goalscorers

  • 70′E. LaniniImolese

Official lineup for Feralpisalo vs Imolese

The starting elevens fielded at kick-off.

Feralpisalo

  1. 9Andrea Caracciolo
  2. 11Andrea Ferretti
  1. 7A. Vita
  2. 14F. Scarsella
  3. 18S. Pesce
  1. 8L. Magnino
  2. 20Marco Martin
  3. 21Michele Canini
  4. 24L. Parodi
  5. 31P. Marchi
  1. 1A. Livieri

Imolese

  1. 17E. Lanini
  2. 27S. Rossetti
  1. 20M. Gargiulo
  2. 21F. Carraro
  3. 24S. Hraiech
  4. 26Filippo Carini
  5. 29N. Mosti
  1. 5L. Checchi
  2. 18A. Garattoni
  3. 25C. Fiore
  1. 22G. Rossi
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Feralpisalo have 7 wins, 4 draws and 4 defeats; Imolese have 5, 7 and 3.

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

Feralpisalo
DateOpponentScoreCompetition
Dec 8, 2018Vis Pesaro(away)0-1Serie C - Girone B
Dec 1, 2018Giana Erminio(away)4-2Serie C - Girone B
Nov 25, 2018AJ Fano(home)1-0Serie C - Girone B
Nov 21, 2018Ternana(away)1-1Serie C - Girone B
Nov 18, 2018Sambenedettese(away)0-2Serie C - Girone B
Imolese
DateOpponentScoreCompetition
Dec 8, 2018Virtus Verona(home)3-1Serie C - Girone B
Dec 1, 2018Triestina(away)0-1Serie C - Girone B
Nov 25, 2018Monza(away)1-1Serie C - Girone B
Nov 18, 2018Ternana(home)0-0Serie C - Girone B
Nov 11, 2018Renate(away)0-1Serie C - Girone B

How many goals should we expect?

Feralpisalo score 1.3 and concede 1.1 goals per match over their last 15; Imolese score 1.1 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Feralpisalo1.31.147/155/15
Imolese1.10.9310/155/15

Over the last 15 matches in all competitions.

A question about Feralpisalo vs Imolese?

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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