Match

Frosinone vs Padova: result 1-3 and analysis

Coppa Italia2nd RoundKick-off on September 30, 2020 at 01:00 PM (UTC)Stadio Benito Stirpe, Frosinone

Frosinone
1-3
Padova

Full time

What was the result of Frosinone vs Padova?

Padova won 1-3 on September 30, 2020.

Goalscorers

  • 19′A. TabanelliFrosinone
  • 21′S. Della LattaPadova
  • 34′E. SoleriPadova
  • 42′S. Della LattaPadova

Official lineup for Frosinone vs Padova

The starting elevens fielded at kick-off.

Frosinone

3-4-1-2
  1. 28C. Ciano
  2. 9M. Ardemagni
  1. 14Andrea Errico
  1. 20A. Tribuzzi
  2. 24M. Vitale
  3. 21A. Tabanelli
  4. 35P. Giordani
  1. 25P. Szymiński
  2. 23N. Brighenti
  3. 16S. D'Elia
  1. 1A. Iacobucci

Padova

4-3-3
  1. 14A. Vasic
  2. 21E. Soleri
  3. 26D. Buglio
  1. 16N. Fazzi
  2. 5S. Della Latta
  3. 8U. Germano
  1. 10Ronaldo
  2. 4A. Gasbarro
  3. 24C. Pelagatti
  4. 3N. Valentini
  1. 1G. Vannucchi
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Frosinone have 4 wins, 3 draws and 8 defeats; Padova have 5, 3 and 7.

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

Frosinone
DateOpponentScoreCompetition
Sep 26, 2020Empoli(home)0-2Serie B
Aug 20, 2020Spezia(away)1-0Serie B
Aug 16, 2020Spezia(home)0-1Serie B
Aug 12, 2020Pordenone(away)2-0Serie B
Aug 9, 2020Pordenone(home)0-1Serie B
Padova
DateOpponentScoreCompetition
Sep 27, 2020Imolese(home)0-1Serie C - Girone B
Sep 23, 2020Breno(home)2-0Coppa Italia
Sep 1, 2020Lazio(away)0-1Friendlies Clubs
Jul 9, 2020Juventus U23(away)0-2Serie C - Girone A
Jul 5, 2020Feralpisalo(home)1-0Serie C - Girone A

How many goals should we expect?

Frosinone score 0.9 and concede 1.4 goals per match over their last 15; Padova score 1.0 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Frosinone0.91.426/154/15
Padova1.00.954/153/15

Over the last 15 matches in all competitions.

A question about Frosinone vs Padova?

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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