Match

Foggia vs Catania: result 0-0 and analysis

Serie C - Girone ARegular Season - 12Kick-off on November 6, 2016 at 03:30 PM (UTC)Stadio Comunale Pino Zaccheria, Foggia

Foggia
0-0
Catania

Full time

What was the result of Foggia vs Catania?

Foggia and Catania drew 0-0 on November 6, 2016.

Official lineup for Foggia vs Catania

The starting elevens fielded at kick-off.

Foggia

  1. 7C. Chiricò
  2. 19Fabio Mazzeo
  1. 4Cristian Antonio Agnelli
  2. 5A. Vacca
  3. 11Miguel Ángel
  4. 25A. Gerbo
  1. 2Ângelo Mariano De Almeida
  2. 13Alan Empereur
  3. 14L. Martinelli
  4. 23Matteo Rubin
  1. 1E. Guarna

Catania

  1. 9Michele Paolucci
  2. 23A. Di Grazia
  1. 4Rosario Bucolo
  2. 6Drausio
  3. 21G. Fornito
  4. 24D. Di Cecco
  5. 27M. Biagianti
  6. 32A. Mazzarani
  1. 3Dario Bergamelli
  2. 20S. Đorđević
  1. 12M. Pisseri
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What is the recent form of both teams?

Over their last 12 matches in all competitions, Foggia have 7 wins, 3 draws and 2 defeats; Catania have 7, 6 and 2.

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

Foggia
DateOpponentScoreCompetition
Oct 31, 2016Lecce(away)0-0Serie C - Girone A
Oct 23, 2016Monopoli(home)4-1Serie C - Girone A
Oct 16, 2016Juve Stabia(away)1-4Serie C - Girone A
Oct 9, 2016Akragas(home)0-0Serie C - Girone A
Oct 2, 2016Matera(away)1-1Serie C - Girone A
Catania
DateOpponentScoreCompetition
Oct 30, 2016Paganese(home)2-1Serie C - Girone A
Oct 23, 2016Lecce(home)2-0Serie C - Girone A
Oct 16, 2016Melfi(away)1-1Serie C - Girone A
Oct 9, 2016Messina(home)3-1Serie C - Girone A
Oct 2, 2016Taranto(away)0-0Serie C - Girone A

How many goals should we expect?

Foggia score 1.6 and concede 0.9 goals per match over their last 12; Catania score 1.4 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Foggia1.60.957/127/12
Catania1.40.949/157/15

Over the last 12 matches in all competitions.

A question about Foggia vs Catania?

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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