Match

Padova vs Reggiana: result 2-0 and analysis

Serie C - Girone ARegular Season - 9Kick-off on October 17, 2016 at 06:45 PM (UTC)Stadio Comunale Euganeo, Padova

Padova
2-0
Reggiana

Full time

What was the result of Padova vs Reggiana?

Padova won 2-0 on October 17, 2016.

Goalscorers

  • 32′M. RussoPadova (pen.)
  • 50′C. AltinierPadova

Official lineup for Padova vs Reggiana

The starting elevens fielded at kick-off.

Padova

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

Reggiana

  1. 10A. Nolè
  2. 17J. Manconi
  3. 27Marco Guidone
  1. 16Andrea Bovo
  2. 21S. Calvano
  1. 4F. Angiulli
  2. 13M. Giron
  3. 14V. Mogoș
  4. 15P. Rozzio
  5. 25T. Trevisan
  1. 1S. Perilli
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What is the recent form of both teams?

Over their last 8 matches in all competitions, Padova have 2 wins, 4 draws and 2 defeats; Reggiana have 6, 8 and 1.

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

Padova
DateOpponentScoreCompetition
Oct 11, 2016Sambenedettese(away)0-2Serie C - Girone A
Oct 8, 2016Teramo(away)0-0Serie C - Girone A
Oct 1, 2016Mantova(home)0-0Serie C - Girone A
Sep 24, 2016Gubbio(away)1-0Serie C - Girone A
Sep 17, 2016Maceratese(home)1-1Serie C - Girone A
Reggiana
DateOpponentScoreCompetition
Oct 16, 2016Casertana(away)2-2Serie C - Girone A
Oct 9, 2016Juve Stabia(home)1-0Serie C - Girone A
Oct 8, 2016AJ Fano(home)3-1Serie C - Girone A
Oct 4, 2016Santarcangelo(home)0-0Serie C - Girone A
Oct 2, 2016Lecce(away)0-1Serie C - Girone A

How many goals should we expect?

Padova score 0.8 and concede 0.9 goals per match over their last 8; Reggiana score 1.3 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Padova0.80.943/81/8
Reggiana1.30.777/155/15

Over the last 8 matches in all competitions.

A question about Padova vs Reggiana?

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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