Match

Como vs Ternana: result 0-3 and analysis

Serie C - Girone ASupercoppa Lega Finals - 2Kick-off on May 15, 2021 at 03:00 PM (UTC)Stadio Giuseppe Sinigaglia, Como

Como
0-3
Ternana

Full time

What was the result of Como vs Ternana?

Ternana won 0-3 on May 15, 2021.

Goalscorers

  • 20′A. SalzanoTernana
  • 41′D. VantaggiatoTernana
  • 70′D. PeraltaTernana

Official lineup for Como vs Ternana

The starting elevens fielded at kick-off.

Como

  1. 7G. Terrani
  2. 9A. Gabrielloni
  3. 10M. Gatto
  1. 3G. De Nuzzo
  2. 5E. Bovolon
  3. 6A. Iovine
  4. 8E. Celeghin
  5. 11M. Cicconi
  6. 14A. Bellemo
  1. 34A. Dkidak
  1. 1D. Facchin

Ternana

  1. 10D. Vantaggiato
  2. 21A. Partipilo
  1. 7F. Furlan
  2. 8M. Proietti
  3. 17C. Falletti
  4. 25M. Defendi
  5. 28A. Salzano
  1. 3Carlo Mammarella
  2. 6I. Kontek
  3. 18M. Boben
  1. 1A. Iannarilli
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Como have 8 wins, 2 draws and 5 defeats; Ternana have 12, 1 and 2.

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

Como
DateOpponentScoreCompetition
May 8, 2021Perugia(away)1-2Serie C - Girone A
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
Ternana
DateOpponentScoreCompetition
May 2, 2021Juve Stabia(home)3-4Serie C - Girone C
Apr 25, 2021SS Monopoli(away)4-2Serie C - Girone C
Apr 11, 2021Turris(away)1-0Serie C - Girone C
Apr 7, 2021Cavese(home)7-2Serie C - Girone C
Apr 3, 2021Avellino(home)4-1Serie C - Girone C

How many goals should we expect?

Como score 1.7 and concede 1.3 goals per match over their last 15; Ternana score 2.9 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Como1.71.3310/1511/15
Ternana2.91.2411/1510/15

Over the last 15 matches in all competitions.

A question about Como vs Ternana?

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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