Match

Mantova vs AJ Fano: result 0-1 and analysis

Serie C - Girone ARegular Season - 13Kick-off on November 12, 2016 at 05:30 PM (UTC)Stadio Danilo Martelli, Mantova

Mantova
0-1
AJ Fano

Full time

What was the result of Mantova vs AJ Fano?

AJ Fano won 0-1 on November 12, 2016.

Goalscorers

  • 83′209357AJ Fano (pen.)

Official lineup for Mantova vs AJ Fano

The starting elevens fielded at kick-off.

Mantova

  1. 9Mattia Marchi
  1. 6Filippo Carini
  2. 7R. Zammarini
  3. 8Silvano Raggio Garibaldi
  4. 10G. Caridi
  5. 24P. Regoli
  6. 26Enzo Di Santantonio
  1. 2A. Bandini
  2. 17Angelo Siniscalchi
  3. 23A. Cristini
  1. 12L. Maniero

AJ Fano

  1. 9N. Gucci
  1. 7Umberto Cazzola
  2. 14A. Bellemo
  3. 21G. Gabbianelli
  4. 15S. Masini
  5. 19M. Taino
  6. 23L. Gualdi
  1. 2Valerio Zigrossi
  2. 5M. Ferrani
  3. 16W. Zullo
  1. 1Pietro Menegatti
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What is the recent form of both teams?

Over their last 12 matches in all competitions, Mantova have 2 wins, 3 draws and 7 defeats; AJ Fano have 2, 4 and 6.

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

Mantova
DateOpponentScoreCompetition
Nov 5, 2016Teramo(away)1-0Serie C - Girone A
Oct 29, 2016Reggiana(home)2-3Serie C - Girone A
Oct 22, 2016Parma(away)0-1Serie C - Girone A
Oct 15, 2016Bassano Virtus(home)1-4Serie C - Girone A
Oct 8, 2016Maceratese(away)0-1Serie C - Girone A
AJ Fano
DateOpponentScoreCompetition
Nov 5, 2016Forli(home)1-0Serie C - Girone A
Oct 29, 2016Parma(home)0-1Serie C - Girone A
Oct 22, 2016Feralpisalo(away)0-0Serie C - Girone A
Oct 15, 2016Ancona(home)1-1Serie C - Girone A
Oct 8, 2016Reggiana(away)1-3Serie C - Girone A

How many goals should we expect?

Mantova score 0.8 and concede 1.3 goals per match over their last 12; AJ Fano score 0.6 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mantova0.81.335/124/12
AJ Fano0.61.234/122/12

Over the last 12 matches in all competitions.

A question about Mantova vs AJ Fano?

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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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