Match

AJ Fano vs Forli: result 1-0 and analysis

Serie C - Girone ARegular Season - 12Kick-off on November 5, 2016 at 07:30 PM (UTC)Stadio Raffaele Mancini, Fano

AJ Fano
1-0
Forli

Full time

What was the result of AJ Fano vs Forli?

AJ Fano won 1-0 on November 5, 2016.

Goalscorers

  • 15′192112AJ Fano

Official lineup for AJ Fano vs Forli

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. 6Andrea Torta
  4. 13Stefano Lanini
  1. 1Pietro Menegatti

Forli

  1. 9G. Parigi
  1. 4S. Capellupo
  2. 8Gianluca Piccoli
  3. 10M. Spinosa
  4. 13F. Adobati
  5. 21E. Bardelloni
  1. 2D. Conson
  2. 7T. Tentoni
  3. 20Samuel Sereni
  4. 23M. Vesi
  1. 1Alessandro Turrin
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What is the recent form of both teams?

Over their last 11 matches in all competitions, AJ Fano have 1 win, 4 draws and 6 defeats; Forli have 0, 4 and 7.

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

AJ Fano
DateOpponentScoreCompetition
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
Oct 1, 2016Maceratese(home)0-0Serie C - Girone A
Forli
DateOpponentScoreCompetition
Oct 29, 2016Santarcangelo(home)1-1Serie C - Girone A
Oct 22, 2016Lumezzane(away)0-0Serie C - Girone A
Oct 15, 2016Parma(home)3-5Serie C - Girone A
Oct 8, 2016Gubbio(away)0-1Serie C - Girone A
Oct 1, 2016Feralpisalo(away)0-5Serie C - Girone A

How many goals should we expect?

AJ Fano score 0.5 and concede 1.3 goals per match over their last 11; Forli score 0.6 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
AJ Fano0.51.324/112/11
Forli0.61.914/113/11

Over the last 11 matches in all competitions.

A question about AJ Fano vs Forli?

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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