Match

Foggia vs Vibonese: result 3-0 and analysis

Serie C - Girone ARegular Season - 3Kick-off on September 11, 2016 at 06:30 PM (UTC)Stadio Comunale Pino Zaccheria, Foggia

Foggia
3-0
Vibonese

Full time

What was the result of Foggia vs Vibonese?

Foggia won 3-0 on September 11, 2016.

Goalscorers

  • 42′Martí RiverolaFoggia
  • 65′Fabio MazzeoFoggia
  • 78′V. SarnoFoggia

Official lineup for Foggia vs Vibonese

The starting elevens fielded at kick-off.

Foggia

  1. 7C. Chiricò
  2. 19Fabio Mazzeo
  1. 4Cristian Antonio Agnelli
  2. 5A. Vacca
  3. 10V. Sarno
  4. 20Martí Riverola
  5. 21Tommaso Roberto Coletti
  1. 2Ângelo Mariano De Almeida
  2. 13Alan Empereur
  3. 23Matteo Rubin
  1. 1E. Guarna

Vibonese

  1. 9A. Saraniti
  1. 4Giovanni Giuffrida
  2. 14Abdul Meyker Yabré
  3. 2G. Franchino
  4. 3D. Paparusso
  5. 7F. Scapellato
  6. 10S. Leonetti
  7. 26R. Sabato
  1. 5Pietro Sicignano
  2. 23L. Manzo
  1. 1Stefano Russo
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What is the recent form of both teams?

Over their last 3 matches in all competitions, Foggia have 2 wins, 0 draws and 1 defeat; Vibonese have 1, 1 and 0.

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

Foggia
DateOpponentScoreCompetition
Sep 5, 2016Siracusa(away)2-1Serie C - Girone A
Aug 29, 2016Fidelis Andria(home)2-1Serie C - Girone A
Aug 5, 2016Hellas Verona(away)1-2Coppa Italia
Vibonese
DateOpponentScoreCompetition
Sep 4, 2016Fondi(home)1-0Serie C - Girone A
Aug 28, 2016Akragas(away)1-1Serie C - Girone A

How many goals should we expect?

Foggia score 1.7 and concede 1.3 goals per match over their last 3; Vibonese score 1.0 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Foggia1.71.303/33/3
Vibonese1.00.511/20/2

Over the last 3 matches in all competitions.

A question about Foggia vs Vibonese?

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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