Match

Padova vs Maceratese: result 1-1 and analysis

Serie C - Girone ARegular Season - 5Kick-off on September 17, 2016 at 04:30 PM (UTC)Stadio Comunale Euganeo, Padova

Padova
1-1
Maceratese

Full time

What was the result of Padova vs Maceratese?

Padova and Maceratese drew 1-1 on September 17, 2016.

Goalscorers

  • 21′F. DettoriPadova
  • 90′Federico PalmieriMaceratese

Official lineup for Padova vs Maceratese

The starting elevens fielded at kick-off.

Padova

  1. 9C. Altinier
  2. 10Leonidas
  1. 5F. Dettori
  2. 6Matteo Mandorlini
  3. 8C. De Risio
  4. 16Nicola Madonna
  1. 2A. Tentardini
  2. 19M. Russo
  3. 23D. Cappelletti
  4. 25Emerson
  1. 1Giacomo Bindi

Maceratese

  1. 9Matteo Colombi
  2. 11Nicola Petrilli
  1. 7L. De Grazia
  2. 8Alberto Quadri
  3. 10Gianluca Turchetta
  4. 3M. Broli
  5. 20F. Mestre
  6. 24A. Perna
  1. 6Filippo Gattari
  2. 14Christian Ventola
  1. 22F. Forte
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What is the recent form of both teams?

Over their last 3 matches in all competitions, Padova have 1 win, 1 draw and 1 defeat; Maceratese have 0, 2 and 2.

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

Padova
DateOpponentScoreCompetition
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
Maceratese
DateOpponentScoreCompetition
Sep 13, 2016Ancona(home)0-0Serie C - Girone A
Sep 10, 2016Modena(away)0-0Serie C - Girone A
Sep 3, 2016Sambenedettese(home)1-2Serie C - Girone A
Aug 6, 2016Carpi(away)2-3Coppa Italia

How many goals should we expect?

Padova score 1.3 and concede 1.3 goals per match over their last 3; Maceratese score 0.8 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Padova1.31.312/31/3
Maceratese0.81.322/42/4

Over the last 3 matches in all competitions.

A question about Padova vs Maceratese?

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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