Match

Padova vs Imolese: result 2-0 and analysis

Serie C - Girone BGirone B - 18Kick-off on December 8, 2019 at 02:00 PM (UTC)Stadio Comunale Euganeo, Padova

Padova
2-0
Imolese

Full time

What was the result of Padova vs Imolese?

Padova won 2-0 on December 8, 2019.

Goalscorers

  • 81′RonaldoPadova
  • 90′Matteo MandorliniPadova

Official lineup for Padova vs Imolese

The starting elevens fielded at kick-off.

Padova

  1. 11E. Soleri
  2. 26C. Bunino
  3. 27E. Piovanello
  1. 8U. Germano
  2. 14Ronaldo
  3. 18D. Buglio
  1. 15A. Krešić
  2. 17Joel Baraye
  3. 19Siniša Anđelković
  4. 24C. Pelagatti
  1. 1S. Minelli

Imolese

  1. 9D. Vuthaj
  2. 14Bismark Ngissah
  1. 6I. Alimi
  2. 10L. Belcastro
  3. 26Filippo Carini
  1. 8T. Tentoni
  2. 19Filippo Boccardi
  3. 27Lorenzo Valeau
  4. 29G. Ingrosso
  5. 30Pio Schiavi
  1. 22G. Rossi
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Padova have 8 wins, 3 draws and 4 defeats; Imolese have 2, 7 and 6.

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

Padova
DateOpponentScoreCompetition
Dec 1, 2019Gubbio(away)0-0Serie C - Girone B
Nov 24, 2019Rimini(home)1-0Serie C - Girone B
Nov 16, 2019Feralpisalo(away)0-1Serie C - Girone B
Nov 10, 2019Sudtirol(home)0-1Serie C - Girone B
Nov 3, 2019Vicenza Virtus(away)1-0Serie C - Girone B
Imolese
DateOpponentScoreCompetition
Dec 4, 2019Triestina(home)1-1Serie C - Girone B
Dec 1, 2019Sambenedettese(home)1-1Serie C - Girone B
Nov 24, 2019Piacenza(away)0-0Serie C - Girone B
Nov 10, 2019Vis Pesaro(away)1-1Serie C - Girone B
Nov 3, 2019Sudtirol(home)2-2Serie C - Girone B

How many goals should we expect?

Padova score 0.9 and concede 0.5 goals per match over their last 15; Imolese score 0.8 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Padova0.90.593/152/15
Imolese0.81.128/154/15

Over the last 15 matches in all competitions.

A question about Padova vs Imolese?

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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