Match

Monza vs Pordenone: result 0-2 and analysis

Serie C - Girone BGirone B - 12Kick-off on November 18, 2018 at 01:30 PM (UTC)U-Power Stadium, Monza

Monza
0-2
Pordenone

Full time

What was the result of Monza vs Pordenone?

Pordenone won 0-2 on November 18, 2018.

Goalscorers

  • 8′L. CandellonePordenone
  • 85′S. MagnaghiPordenone

Official lineup for Monza vs Pordenone

The starting elevens fielded at kick-off.

Monza

  1. 9S. Cori
  2. 10A. D'Errico
  1. 6L. Palesi
  2. 8L. Guidetti
  3. 19D. Caverzasi
  4. 27L. Giudici
  5. 32S. Iocolano
  1. 7M. Origlio
  2. 23S. Negro
  3. 25Lorenzo Adorni
  1. 33E. Guarna

Pordenone

  1. 10E. Berrettoni
  2. 13P. Ciurria
  3. 21G. Misuraca
  4. 27L. Candellone
  1. 7D. Gavazzi
  2. 8S. Burrai
  1. 3M. De Agostini
  2. 4Mirko Stefani
  3. 6A. Barison
  4. 25Filippo Florio
  1. 1Giacomo Bindi
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Monza have 7 wins, 3 draws and 5 defeats; Pordenone have 7, 6 and 2.

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

Monza
DateOpponentScoreCompetition
Nov 11, 2018Vis Pesaro(away)1-1Serie C - Girone B
Nov 4, 2018Ternana(home)1-4Serie C - Girone B
Oct 28, 2018AJ Fano(away)2-0Serie C - Girone B
Oct 21, 2018Teramo(home)0-1Serie C - Girone B
Oct 17, 2018Vicenza Virtus(away)0-3Serie C - Girone B
Pordenone
DateOpponentScoreCompetition
Nov 12, 2018Triestina(home)1-2Serie C - Girone B
Nov 4, 2018Sambenedettese(away)2-2Serie C - Girone B
Oct 28, 2018Fermana(home)0-1Serie C - Girone B
Oct 21, 2018Renate(home)2-1Serie C - Girone B
Oct 17, 2018Vis Pesaro(away)2-1Serie C - Girone B

How many goals should we expect?

Monza score 1.0 and concede 0.9 goals per match over their last 15; Pordenone score 1.7 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Monza1.00.974/153/15
Pordenone1.71.2311/159/15

Over the last 15 matches in all competitions.

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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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