Match

Santarcangelo vs Padova: result 1-2 and analysis

Serie C - Girone ARegular Season - 10Kick-off on October 22, 2016 at 02:30 PM (UTC)Stadio Valentino Mazzola, Santarcangelo di Romagna

Santarcangelo
1-2
Padova

Full time

What was the result of Santarcangelo vs Padova?

Padova won 1-2 on October 22, 2016.

Goalscorers

  • 22′M. RussoPadova (pen.)
  • 34′A. FavalliPadova
  • 67′31870Santarcangelo

Official lineup for Santarcangelo vs Padova

The starting elevens fielded at kick-off.

Santarcangelo

  1. 7C. Cesaretti
  2. 27M. Merini
  1. 15Francesco Posocco
  2. 24Dejan Danza
  3. 10D. Dalla Bona
  4. 21C. Sirignano
  1. 3Giovanni Rossi
  2. 4R. Carlini
  3. 5D. Adorni
  4. 19Luca Oneto
  1. 22M. Nardi

Padova

  1. 9C. Altinier
  2. 21Luis María Alfageme
  1. 5F. Dettori
  2. 6Matteo Mandorlini
  3. 18D. Mazzocco
  1. 3A. Favalli
  2. 19M. Russo
  3. 20A. Boniotti
  4. 23D. Cappelletti
  5. 25Emerson
  1. 1Giacomo Bindi
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What is the recent form of both teams?

Over their last 10 matches in all competitions, Santarcangelo have 3 wins, 5 draws and 2 defeats; Padova have 3, 4 and 2.

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

Santarcangelo
DateOpponentScoreCompetition
Oct 15, 2016Pordenone(away)3-3Serie C - Girone A
Oct 8, 2016Lumezzane(home)2-0Serie C - Girone A
Oct 4, 2016Reggiana(away)0-0Serie C - Girone A
Oct 1, 2016Ancona(home)0-0Serie C - Girone A
Sep 24, 2016Bassano Virtus(away)0-4Serie C - Girone A
Padova
DateOpponentScoreCompetition
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
Sep 24, 2016Gubbio(away)1-0Serie C - Girone A

How many goals should we expect?

Santarcangelo score 1.2 and concede 1.2 goals per match over their last 10; Padova score 0.9 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Santarcangelo1.21.254/104/10
Padova0.90.853/91/9

Over the last 10 matches in all competitions.

A question about Santarcangelo 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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