Match

Monopoli vs Juve Stabia: result 0-1 and analysis

Serie C - Girone ARegular Season - 3Kick-off on September 11, 2016 at 06:30 PM (UTC)Stadio Vito Simone Veneziani, Monopoli

Monopoli
0-1
Juve Stabia

Full time

What was the result of Monopoli vs Juve Stabia?

Juve Stabia won 0-1 on September 11, 2016.

Goalscorers

  • 8′Stefano Del SanteJuve Stabia

Official lineup for Monopoli vs Juve Stabia

The starting elevens fielded at kick-off.

Monopoli

  1. 10A. Gatto
  1. 8L. Viola
  2. 16D. Franco
  3. 21D. Balestrero
  4. 28I. Nicolini
  5. 4P. Esposito
  6. 6S. Ricucci
  7. 9G. Genchi
  8. 22A. Mirarco
  1. 19G. Pinto
  2. 30L. Bacchetti

Juve Stabia

  1. 7M. Kanoute
  2. 9Stefano Del Sante
  3. 10Mario Marotta
  1. 17Stefano Salvi
  2. 19N. Izzillo
  3. 21G. Esposito
  1. 2T. Cancellotti
  2. 6Federico Amenta
  3. 14D. Liotti
  4. 18S. Morero
  1. 22D. Russo
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What is the recent form of both teams?

Over their last 2 matches in all competitions, Monopoli have 1 win, 0 draws and 1 defeat; Juve Stabia have 1, 0 and 2.

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

Monopoli
DateOpponentScoreCompetition
Sep 4, 2016Casertana(away)1-0Serie C - Girone A
Aug 28, 2016Lecce(home)1-2Serie C - Girone A
Juve Stabia
DateOpponentScoreCompetition
Sep 4, 2016Melfi(home)4-0Serie C - Girone A
Aug 27, 2016Catania(away)1-3Serie C - Girone A
Aug 7, 2016Novara(away)1-2Coppa Italia

How many goals should we expect?

Monopoli score 1.0 and concede 1.0 goals per match over their last 2; Juve Stabia score 2.0 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Monopoli1.01.011/21/2
Juve Stabia2.01.712/33/3

Over the last 2 matches in all competitions.

A question about Monopoli vs Juve Stabia?

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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