Match

Perugia vs Cittadella: result 2-0 and analysis

Serie BRegular Season - 9Kick-off on October 15, 2016 at 01:00 PM (UTC)Stadio Renato Curi, Perugia

Perugia
2-0
Cittadella

Full time

What was the result of Perugia vs Cittadella?

Perugia won 2-0 on October 15, 2016.

Goalscorers

  • 48′S. Di CarminePerugia
  • 64′S. Di CarminePerugia

Official lineup for Perugia vs Cittadella

The starting elevens fielded at kick-off.

Perugia

4-3-3
  1. 21F. Nicastro
  2. 10S. Di Carmine
  3. 15P. Zebli
  1. 11J. Dezi
  2. 7Stefano Guberti
  3. 33M. Brighi
  1. 6S. Monaco
  2. 27G. Di Chiara
  3. 17N. Belmonte
  4. 14Massimo Volta
  1. 1A. Rosati

Cittadella

4-3-1-2
  1. 27C. Kouamé
  2. 9G. Litteri
  1. 5L. Valzania
  1. 16P. Bartolomei
  2. 7A. Schenetti
  3. 4M. Iori
  1. 3A. Benedetti
  2. 20S. Pasa
  3. 19C. Pelagatti
  4. 11I. Pedrelli
  1. 1E. Alfonso
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What is the recent form of both teams?

Over their last 10 matches in all competitions, Perugia have 5 wins, 3 draws and 2 defeats; Cittadella have 6, 0 and 3.

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

Perugia
DateOpponentScoreCompetition
Oct 9, 2016Avellino(home)3-0Serie B
Oct 1, 2016Frosinone(away)2-1Serie B
Sep 26, 2016Spal(home)1-0Serie B
Sep 20, 2016Virtus Entella(away)1-2Serie B
Sep 17, 2016Ternana(home)1-1Serie B
Cittadella
DateOpponentScoreCompetition
Oct 8, 2016Frosinone(home)2-3Serie B
Oct 1, 2016Trapani(away)2-0Serie B
Sep 24, 2016Brescia(home)0-3Serie B
Sep 20, 2016Avellino(away)1-0Serie B
Sep 17, 2016Novara(home)3-1Serie B

How many goals should we expect?

Perugia score 1.3 and concede 0.8 goals per match over their last 10; Cittadella score 2.0 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Perugia1.30.836/104/10
Cittadella2.01.235/96/9

Over the last 10 matches in all competitions.

A question about Perugia vs Cittadella?

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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