Match

Perugia vs Como: result 2-1 and analysis

Serie C - Girone ASupercoppa Lega Finals - 1Kick-off on May 8, 2021 at 04:00 PM (UTC)Stadio Renato Curi, Perugia

Perugia
2-1
Como

Full time

What was the result of Perugia vs Como?

Perugia won 2-1 on May 8, 2021.

Goalscorers

  • 30′F. MelchiorriPerugia
  • 48′A. GabrielloniComo
  • 69′S. EliaPerugia

Official lineup for Perugia vs Como

The starting elevens fielded at kick-off.

Perugia

  1. 9F. Melchiorri
  2. 18M. Minesso
  3. 20A. Bianchimano
  1. 8S. Burrai
  2. 10G. Di Noia
  3. 17M. Moscati
  1. 3A. Favalli
  2. 4F. Sgarbi
  3. 5G. Angella
  4. 27T. Cancellotti
  1. 1A. Fulignati

Como

  1. 7G. Terrani
  2. 9A. Gabrielloni
  3. 10M. Gatto
  4. 17L. Rosseti
  1. 5E. Bovolon
  2. 14A. Bellemo
  3. 18I. H'Maidat
  4. 21T. Arrigoni
  1. 13L. Crescenzi
  2. 34A. Dkidak
  1. 1D. Facchin
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Perugia have 10 wins, 3 draws and 2 defeats; Como have 9, 2 and 4.

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

Perugia
DateOpponentScoreCompetition
May 2, 2021Feralpisalo(away)2-0Serie C - Girone B
Apr 25, 2021Matelica(home)2-0Serie C - Girone B
Apr 17, 2021Ravenna(away)3-0Serie C - Girone B
Apr 11, 2021Triestina(home)2-1Serie C - Girone B
Apr 3, 2021Virtus Verona(away)3-0Serie C - Girone B
Como
DateOpponentScoreCompetition
May 2, 2021Novara(away)5-0Serie C - Girone A
Apr 25, 2021Alessandria(home)2-1Serie C - Girone A
Apr 18, 2021Livorno(away)2-1Serie C - Girone A
Apr 14, 2021Olbia(away)0-3Serie C - Girone A
Apr 11, 2021Grosseto(home)2-2Serie C - Girone A

How many goals should we expect?

Perugia score 1.7 and concede 0.5 goals per match over their last 15; Como score 1.7 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Perugia1.70.595/155/15
Como1.71.149/1510/15

Over the last 15 matches in all competitions.

A question about Perugia vs Como?

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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