Match

Padova vs Modena: result 1-0 and analysis

Serie C - Girone ARegular Season - 11Kick-off on October 29, 2016 at 04:30 PM (UTC)Stadio Comunale Euganeo, Padova

Padova
1-0
Modena

Full time

What was the result of Padova vs Modena?

Padova won 1-0 on October 29, 2016.

Goalscorers

  • 33′Luis María AlfagemePadova

Official lineup for Padova vs Modena

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. 18D. Mazzocco
  1. 3A. Favalli
  2. 19M. Russo
  3. 23D. Cappelletti
  4. 25Emerson
  1. 1Giacomo Bindi

Modena

  1. 10T. Tulissi
  2. 14Bálint Bajner
  1. 11Agustín Olivera Scalabrini
  2. 25S. Basso
  3. 33F. Chiossi
  1. 4A. Accardi
  2. 13F. Minarini
  3. 20S. Aldrovandi
  4. 23L. Calapai
  5. 28Ș. Popescu
  1. 12N. Manfredini
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What is the recent form of both teams?

Over their last 10 matches in all competitions, Padova have 4 wins, 4 draws and 2 defeats; Modena have 2, 4 and 5.

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

Padova
DateOpponentScoreCompetition
Oct 22, 2016Santarcangelo(away)2-1Serie C - Girone A
Oct 17, 2016Reggiana(home)2-0Serie C - Girone A
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
Modena
DateOpponentScoreCompetition
Oct 22, 2016Venezia(home)1-2Serie C - Girone A
Oct 15, 2016Lumezzane(away)0-0Serie C - Girone A
Oct 8, 2016Sudtirol(home)1-0Serie C - Girone A
Oct 1, 2016Bassano Virtus(home)0-0Serie C - Girone A
Sep 24, 2016Ancona(away)0-1Serie C - Girone A

How many goals should we expect?

Padova score 1.0 and concede 0.8 goals per match over their last 10; Modena score 0.5 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Padova1.00.854/102/10
Modena0.50.753/113/11

Over the last 10 matches in all competitions.

A question about Padova vs Modena?

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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