Match

Padova vs Mantova: result 0-0 and analysis

Serie C - Girone ARegular Season - 7Kick-off on October 1, 2016 at 04:30 PM (UTC)Stadio Comunale Euganeo, Padova

Padova
0-0
Mantova

Full time

What was the result of Padova vs Mantova?

Padova and Mantova drew 0-0 on October 1, 2016.

Official lineup for Padova vs Mantova

The starting elevens fielded at kick-off.

Padova

  1. 9C. Altinier
  2. 21Luis María Alfageme
  1. 5F. Dettori
  2. 6Matteo Mandorlini
  3. 16Nicola Madonna
  4. 17Riccardo Gaiola
  1. 3A. Favalli
  2. 19M. Russo
  3. 23D. Cappelletti
  4. 25Emerson
  1. 1Giacomo Bindi

Mantova

  1. 9Mattia Marchi
  1. 6Filippo Carini
  2. 7R. Zammarini
  3. 8Silvano Raggio Garibaldi
  4. 16Amidu Salifu
  5. 24P. Regoli
  6. 1F. Bonato
  7. 11P. Tripoli
  1. 2A. Bandini
  2. 20Juan Pablo Gargiulo
  3. 23A. Cristini
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What is the recent form of both teams?

Over their last 5 matches in all competitions, Padova have 2 wins, 2 draws and 1 defeat; Mantova have 1, 2 and 3.

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

Padova
DateOpponentScoreCompetition
Sep 24, 2016Gubbio(away)1-0Serie C - Girone A
Sep 17, 2016Maceratese(home)1-1Serie C - Girone A
Sep 13, 2016AJ Fano(away)1-3Serie C - Girone A
Sep 10, 2016Forli(home)2-0Serie C - Girone A
Sep 3, 2016Albinoleffe(home)1-1Serie C - Girone A
Mantova
DateOpponentScoreCompetition
Sep 24, 2016Feralpisalo(home)1-2Serie C - Girone A
Sep 17, 2016Albinoleffe(away)0-1Serie C - Girone A
Sep 13, 2016Pordenone(home)0-2Serie C - Girone A
Sep 10, 2016Sambenedettese(away)3-1Serie C - Girone A
Sep 3, 2016Venezia(home)0-0Serie C - Girone A

How many goals should we expect?

Padova score 1.2 and concede 1.0 goals per match over their last 5; Mantova score 0.8 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Padova1.21.023/51/5
Mantova0.81.213/62/6

Over the last 5 matches in all competitions.

A question about Padova vs Mantova?

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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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