Match

Paganese vs Monopoli: result 0-2 and analysis

Serie C - Girone ARegular Season - 6Kick-off on September 25, 2016 at 02:30 PM (UTC)Stadio Marcello Torre, Pagani

Paganese
0-2
Monopoli

Full time

What was the result of Paganese vs Monopoli?

Monopoli won 0-2 on September 25, 2016.

Goalscorers

  • 58′M. MontiniMonopoli
  • 71′209566Monopoli

Official lineup for Paganese vs Monopoli

The starting elevens fielded at kick-off.

Paganese

  1. 8Reginaldo
  2. 11E. Cicerelli
  3. 19Simone Caruso
  1. 5Manolo Pestrin
  2. 10F. Deli
  3. 1V. Marruocco
  4. 25S. Di Cuonzo
  5. 27S. Maiorano
  1. 3Giovanni Della Corte
  2. 4L. Silvestri
  3. 13R. Alcibiade

Monopoli

  1. 23M. Montini
  1. 8L. Viola
  2. 21D. Balestrero
  3. 28I. Nicolini
  4. 4P. Esposito
  5. 6S. Ricucci
  6. 9G. Genchi
  7. 22A. Mirarco
  1. 14Mattia Bei
  2. 19G. Pinto
  3. 30L. Bacchetti
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What is the recent form of both teams?

Over their last 4 matches in all competitions, Paganese have 1 win, 0 draws and 3 defeats; Monopoli have 1, 2 and 2.

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

Paganese
DateOpponentScoreCompetition
Sep 18, 2016Catanzaro(away)2-0Serie C - Girone A
Sep 14, 2016Fidelis Andria(away)0-2Serie C - Girone A
Sep 11, 2016Casertana(home)0-1Serie C - Girone A
Sep 4, 2016Matera(away)1-2Serie C - Girone A
Monopoli
DateOpponentScoreCompetition
Sep 18, 2016Reggiana(home)1-1Serie C - Girone A
Sep 14, 2016Siracusa(away)1-1Serie C - Girone A
Sep 11, 2016Juve Stabia(home)0-1Serie C - Girone A
Sep 4, 2016Casertana(away)1-0Serie C - Girone A
Aug 28, 2016Lecce(home)1-2Serie C - Girone A

How many goals should we expect?

Paganese score 0.8 and concede 1.3 goals per match over their last 4; Monopoli score 0.8 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Paganese0.81.311/41/4
Monopoli0.81.013/51/5

Over the last 4 matches in all competitions.

A question about Paganese vs Monopoli?

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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