Match

Teramo vs AJ Fano: result 2-0 and analysis

Serie C - Girone ARegular Season - 6Kick-off on September 24, 2016 at 06:30 PM (UTC)Stadio Gaetano Bonolis, Teramo

Teramo
2-0
AJ Fano

Full time

What was the result of Teramo vs AJ Fano?

Teramo won 2-0 on September 24, 2016.

Goalscorers

  • 4′M. SansoviniTeramo
  • 34′T. D'OrazioTeramo

Official lineup for Teramo vs AJ Fano

The starting elevens fielded at kick-off.

Teramo

  1. 10M. Sansovini
  2. 11M. Petrella
  3. 26Jéffe
  1. 8D. Bulevardi
  2. 16C. Ilari
  3. 27D. Steffè
  1. 3T. D'Orazio
  2. 6I. Speranza
  3. 19S. Scipioni
  4. 23N. Caidi
  1. 1F. Rossi

AJ Fano

  1. 9N. Gucci
  1. 10Davide Borrelli
  2. 14A. Bellemo
  3. 8V. Favo
  4. 11R. Cocuzza
  5. 19M. Taino
  6. 23L. Gualdi
  1. 5M. Ferrani
  2. 6Andrea Torta
  3. 13Stefano Lanini
  1. 1Pietro Menegatti
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What is the recent form of both teams?

Over their last 5 matches in all competitions, Teramo have 0 wins, 2 draws and 3 defeats; AJ Fano have 1, 1 and 3.

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

Teramo
DateOpponentScoreCompetition
Sep 17, 2016Santarcangelo(away)1-1Serie C - Girone A
Sep 13, 2016Modena(home)1-2Serie C - Girone A
Sep 10, 2016Pordenone(away)1-3Serie C - Girone A
Sep 3, 2016Bassano Virtus(home)1-1Serie C - Girone A
Aug 27, 2016Lumezzane(away)0-2Serie C - Girone A
AJ Fano
DateOpponentScoreCompetition
Sep 17, 2016Sambenedettese(away)0-1Serie C - Girone A
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?

Teramo score 0.8 and concede 1.8 goals per match over their last 5; AJ Fano score 0.8 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Teramo0.81.804/52/5
AJ Fano0.81.402/51/5

Over the last 5 matches in all competitions.

A question about Teramo 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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