Match

Casertana vs Akragas: result 0-1 and analysis

Serie C - Girone ARegular Season - 16Kick-off on December 3, 2016 at 01:30 PM (UTC)Stadio Comunale Alberto Pinto, Caserta

Casertana
0-1
Akragas

Full time

What was the result of Casertana vs Akragas?

Akragas won 0-1 on December 3, 2016.

Goalscorers

  • 80′F. SalveminiAkragas

Official lineup for Casertana vs Akragas

The starting elevens fielded at kick-off.

Casertana

  1. 9G. Corado
  2. 29M. Carlini
  1. 7Simone De Marco
  2. 8I. Rajcic
  3. 14Ewome Kelvin Matute
  4. 1P. Ginestra
  5. 28L. Orlando
  1. 2M. Finizio
  2. 3L. Pezzella
  3. 5F. Lorenzini
  4. 21Pasquale Rainone

Akragas

  1. 7F. Salvemini
  2. 9G. Gomez
  1. 2M. Zanini
  2. 4F. Salandria
  3. 15L. Palmiero
  4. 3G. Russo
  5. 17L. Longo
  1. 14C. Riggio
  2. 16Thiago Cazé
  3. 18Daniele Marino
  1. 22P. Pane
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Casertana have 5 wins, 6 draws and 4 defeats; Akragas have 2, 8 and 5.

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

Casertana
DateOpponentScoreCompetition
Nov 27, 2016Foggia(away)1-1Serie C - Girone A
Nov 20, 2016Siracusa(home)2-0Serie C - Girone A
Nov 13, 2016Juve Stabia(home)1-1Serie C - Girone A
Nov 6, 2016Cosenza(away)2-1Serie C - Girone A
Oct 30, 2016Fondi(home)1-1Serie C - Girone A
Akragas
DateOpponentScoreCompetition
Nov 27, 2016Paganese(away)0-2Serie C - Girone A
Nov 20, 2016Messina(home)0-0Serie C - Girone A
Nov 13, 2016Siracusa(away)2-4Serie C - Girone A
Nov 6, 2016Melfi(home)1-1Serie C - Girone A
Oct 30, 2016Matera(away)1-3Serie C - Girone A

How many goals should we expect?

Casertana score 1.0 and concede 1.0 goals per match over their last 15; Akragas score 0.9 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Casertana1.01.058/155/15
Akragas0.91.549/155/15

Over the last 15 matches in all competitions.

A question about Casertana vs Akragas?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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