Match

Sambenedettese vs AJ Fano: result 1-0 and analysis

Serie C - Girone AMatchday 5Kick-off on September 17, 2016 at 12:30 PM (UTC)Stadio Riviera delle Palme, San Benedetto del Tronto

Sambenedettese
1-0
AJ Fano

Full time

What was the result of Sambenedettese vs AJ Fano?

Sambenedettese won 1-0 on September 17, 2016.

Goalscorers

  • 84′L. MancusoSambenedettese

Official lineup for Sambenedettese vs AJ Fano

The starting elevens fielded at kick-off.

Sambenedettese

  1. 7L. Mancuso
  2. 9L. Sorrentino
  3. 17A. Di Massimo
  1. 5L. Berardocco
  2. 6Luca Lulli
  3. 3A. Radi
  4. 8A. Sabatino
  5. 11M. Pezzotti
  1. 4N. Di Filippo
  2. 31S. Ferrario
  1. 1Alberto Frison

AJ Fano

  1. 10Davide Borrelli
  2. 14A. Bellemo
  3. 11R. Cocuzza
  4. 15S. Masini
  5. 19M. Taino
  6. 23L. Gualdi
  7. 27G. Schiavini
  1. 5M. Ferrani
  2. 13Stefano Lanini
  3. 16W. Zullo
  1. 1Pietro Menegatti
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What is the recent form of both teams?

Over their last 3 matches in all competitions, Sambenedettese have 2 wins, 0 draws and 1 defeat; AJ Fano have 1, 1 and 2.

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

Sambenedettese
DateOpponentScoreCompetition
Sep 13, 2016Gubbio(away)3-1Serie C - Girone A
Sep 10, 2016Mantova(home)1-3Serie C - Girone A
Sep 3, 2016Maceratese(away)2-1Serie C - Girone A
AJ Fano
DateOpponentScoreCompetition
Sep 13, 2016Padova(home)3-1Serie C - Girone A
Sep 8, 2016Albinoleffe(away)1-1Serie C - Girone A
Sep 3, 2016Santarcangelo(home)0-2Serie C - Girone A
Aug 27, 2016Sudtirol(away)0-2Serie C - Girone A

How many goals should we expect?

Sambenedettese score 2.0 and concede 1.7 goals per match over their last 3; AJ Fano score 1.0 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sambenedettese2.01.703/33/3
AJ Fano1.01.502/41/4

Over the last 3 matches in all competitions.

A question about Sambenedettese 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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