Match

Akragas vs Virtus Francavilla: result 2-1 and analysis

Serie C - Girone ARegular Season - 5Kick-off on September 18, 2016 at 12:30 PM (UTC)Stadio Esseneto, Agrigento

Akragas
2-1
Virtus Francavilla

Full time

What was the result of Akragas vs Virtus Francavilla?

Akragas won 2-1 on September 18, 2016.

Goalscorers

  • 17′M. ZaniniAkragas
  • 62′G. GomezAkragas
  • 76′M'Bala NzolaVirtus Francavilla

Official lineup for Akragas vs Virtus Francavilla

The starting elevens fielded at kick-off.

Akragas

  1. 9G. Gomez
  1. 2M. Zanini
  2. 4F. Salandria
  3. 5B. Pezzella
  4. 3G. Russo
  5. 8V. Carrotta
  6. 10S. Cocuzza
  1. 6L. Carillo
  2. 18Daniele Marino
  3. 23Andrea Scrugli
  1. 22P. Pane

Virtus Francavilla

  1. 9M'Bala Nzola
  2. 11Gianluca De Angelis
  3. 20V. Triarico Tateo
  1. 19M. Prezioso
  2. 10M. Gâldean
  3. 27G. Abate
  1. 5R. Idda
  2. 6Francesco Gallù
  3. 13Stefano Pino
  4. 21G. Abruzzese
  1. 1M. Albertazzi
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What is the recent form of both teams?

Over their last 4 matches in all competitions, Akragas have 0 wins, 2 draws and 2 defeats; Virtus Francavilla have 1, 1 and 1.

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

Akragas
DateOpponentScoreCompetition
Sep 14, 2016Fondi(away)0-2Serie C - Girone A
Sep 11, 2016Reggiana(home)2-2Serie C - Girone A
Sep 4, 2016Lecce(away)1-4Serie C - Girone A
Aug 28, 2016Vibonese(home)1-1Serie C - Girone A
Virtus Francavilla
DateOpponentScoreCompetition
Sep 15, 2016Foggia(home)0-1Serie C - Girone A
Sep 11, 2016Messina(away)1-1Serie C - Girone A
Sep 4, 2016Catanzaro(home)1-0Serie C - Girone A

How many goals should we expect?

Akragas score 1.0 and concede 2.3 goals per match over their last 4; Virtus Francavilla score 0.7 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Akragas1.02.303/42/4
Virtus Francavilla0.70.711/30/3

Over the last 4 matches in all competitions.

A question about Akragas vs Virtus Francavilla?

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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