Match

Carpi vs AJ Fano: result 2-0 and analysis

Serie C - Girone BGirone B - 10Kick-off on October 20, 2019 at 03:30 PM (UTC)Stadio Sandro Cabassi, Carpi

Carpi
2-0
AJ Fano

Full time

What was the result of Carpi vs AJ Fano?

Carpi won 2-0 on October 20, 2019.

Goalscorers

  • 69′T. BiasciCarpi
  • 75′E. JeleničCarpi (pen.)

Official lineup for Carpi vs AJ Fano

The starting elevens fielded at kick-off.

Carpi

  1. 19M. Vano
  1. 8S. Hraiech
  2. 10D. Šarić
  3. 20E. Jelenič
  1. 2S. Rossoni
  2. 4Ignazio Carta
  3. 5E. Pezzi
  4. 13Minel Sabotic
  5. 15A. Ligi
  6. 26Matteo Lomolino
  1. 22T. Nobile

AJ Fano

  1. 10E. Baldini
  2. 30H. Kanis
  1. 8G. Carpani
  2. 18S. Parlati
  3. 24S. Paolini
  4. 26R. Marino
  1. 3Ismaila Diop
  2. 11A. De Vito
  3. 15P. Di Sabatino
  4. 23Niccolò Tofanari
  1. 1A. Viscovo
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Carpi have 7 wins, 3 draws and 5 defeats; AJ Fano have 4, 6 and 5.

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

Carpi
DateOpponentScoreCompetition
Oct 13, 2019Gubbio(away)2-1Serie C - Girone B
Oct 6, 2019Feralpisalo(home)1-0Serie C - Girone B
Sep 28, 2019Piacenza(away)1-2Serie C - Girone B
Sep 25, 2019Reggiana(away)0-2Serie C - Girone B
Sep 21, 2019Rimini(home)2-1Serie C - Girone B
AJ Fano
DateOpponentScoreCompetition
Oct 13, 2019Rimini(home)0-0Serie C - Girone B
Oct 6, 2019Imolese(away)1-0Serie C - Girone B
Sep 29, 2019Sudtirol(home)0-2Serie C - Girone B
Sep 25, 2019Feralpisalo(away)3-1Serie C - Girone B
Sep 22, 2019Reggiana(home)0-0Serie C - Girone B

How many goals should we expect?

Carpi score 1.7 and concede 1.4 goals per match over their last 15; AJ Fano score 0.8 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Carpi1.71.4310/159/15
AJ Fano0.81.266/153/15

Over the last 15 matches in all competitions.

A question about Carpi vs AJ Fano?

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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