Match

Foggia vs Akragas: result 0-0 and analysis

Serie C - Girone ARegular Season - 8Kick-off on October 9, 2016 at 02:30 PM (UTC)Stadio Comunale Pino Zaccheria, Foggia

Foggia
0-0
Akragas

Full time

What was the result of Foggia vs Akragas?

Foggia and Akragas drew 0-0 on October 9, 2016.

Official lineup for Foggia vs Akragas

The starting elevens fielded at kick-off.

Foggia

  1. 7C. Chiricò
  2. 9Antonio Letizia
  3. 19Fabio Mazzeo
  1. 4Cristian Antonio Agnelli
  2. 5A. Vacca
  3. 20Martí Riverola
  1. 2Ângelo Mariano De Almeida
  2. 13Alan Empereur
  3. 14L. Martinelli
  4. 23Matteo Rubin
  1. 1E. Guarna

Akragas

  1. 7F. Salvemini
  2. 9G. Gomez
  1. 2M. Zanini
  2. 5B. Pezzella
  3. 20Fausto Coppola
  4. 3G. Russo
  5. 17L. Longo
  1. 6L. Carillo
  2. 18Daniele Marino
  3. 19Antonio Sepe
  1. 22P. Pane
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What is the recent form of both teams?

Over their last 8 matches in all competitions, Foggia have 6 wins, 1 draw and 1 defeat; Akragas have 2, 3 and 2.

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

Foggia
DateOpponentScoreCompetition
Oct 2, 2016Matera(away)1-1Serie C - Girone A
Sep 25, 2016Taranto(home)2-0Serie C - Girone A
Sep 19, 2016Messina(away)2-1Serie C - Girone A
Sep 15, 2016Virtus Francavilla(away)1-0Serie C - Girone A
Sep 11, 2016Vibonese(home)3-0Serie C - Girone A
Akragas
DateOpponentScoreCompetition
Oct 2, 2016Catanzaro(home)0-0Serie C - Girone A
Sep 25, 2016Catania(away)1-0Serie C - Girone A
Sep 18, 2016Virtus Francavilla(home)2-1Serie C - Girone A
Sep 14, 2016Fondi(away)0-2Serie C - Girone A
Sep 11, 2016Reggiana(home)2-2Serie C - Girone A

How many goals should we expect?

Foggia score 1.8 and concede 0.8 goals per match over their last 8; Akragas score 1.0 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Foggia1.80.835/85/8
Akragas1.01.424/73/7

Over the last 8 matches in all competitions.

A question about Foggia vs Akragas?

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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