Match

AJ Fano vs Gubbio: result 0-2 and analysis

Serie C - Girone ARegular Season - 14Kick-off on November 19, 2016 at 03:30 PM (UTC)Stadio Raffaele Mancini, Fano

AJ Fano
0-2
Gubbio

Full time

What was the result of AJ Fano vs Gubbio?

Gubbio won 0-2 on November 19, 2016.

Goalscorers

  • 45′D. CasiraghiGubbio
  • 88′D. FerrettiGubbio

Official lineup for AJ Fano vs Gubbio

The starting elevens fielded at kick-off.

AJ Fano

  1. 9N. Gucci
  1. 14A. Bellemo
  2. 21G. Gabbianelli
  3. 15S. Masini
  4. 19M. Taino
  5. 23L. Gualdi
  1. 2Valerio Zigrossi
  2. 5M. Ferrani
  3. 13Stefano Lanini
  4. 16W. Zullo
  1. 1Pietro Menegatti

Gubbio

  1. 9Lorenzo Musto
  1. 4Marco Croce
  2. 5M. Rinaldi
  3. 7D. Ferretti
  4. 16P. Valagussa
  5. 26Dario Giacomarro
  6. 28D. Casiraghi
  7. 6A. Marini
  1. 11A. Zanchi
  2. 24Lorenzo Burzigotti
  1. 22A. Narciso
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What is the recent form of both teams?

Over their last 13 matches in all competitions, AJ Fano have 3 wins, 4 draws and 6 defeats; Gubbio have 7, 1 and 5.

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

AJ Fano
DateOpponentScoreCompetition
Nov 12, 2016Mantova(away)1-0Serie C - Girone A
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
Gubbio
DateOpponentScoreCompetition
Nov 12, 2016Santarcangelo(home)1-0Serie C - Girone A
Nov 5, 2016Parma(away)1-3Serie C - Girone A
Oct 29, 2016Teramo(home)1-5Serie C - Girone A
Oct 22, 2016Ancona(away)2-0Serie C - Girone A
Oct 15, 2016Maceratese(home)0-1Serie C - Girone A

How many goals should we expect?

AJ Fano score 0.6 and concede 1.1 goals per match over their last 13; Gubbio score 1.0 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
AJ Fano0.61.144/132/13
Gubbio1.01.265/134/13

Over the last 13 matches in all competitions.

A question about AJ Fano vs Gubbio?

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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