Match

Monopoli vs Taranto: result 1-0 and analysis

Serie C - Girone ARegular Season - 16Kick-off on December 3, 2016 at 01:30 PM (UTC)Stadio Vito Simone Veneziani, Monopoli

Monopoli
1-0
Taranto

Full time

What was the result of Monopoli vs Taranto?

Monopoli won 1-0 on December 3, 2016.

Goalscorers

  • 86′M. MontiniMonopoli

Official lineup for Monopoli vs Taranto

The starting elevens fielded at kick-off.

Monopoli

  1. 23M. Montini
  1. 13D. Sounas
  2. 15T. Mavretič
  3. 21D. Balestrero
  4. 28I. Nicolini
  5. 4P. Esposito
  6. 6S. Ricucci
  7. 9G. Genchi
  8. 22A. Mirarco
  1. 5M. Ferrara
  2. 19G. Pinto

Taranto

  1. 9S. Magnaghi
  2. 10M. Bollino
  1. 5L. Paolucci
  2. 7Francesco Potenza
  3. 8G. Sampietro
  4. 1R. Maurantonio
  5. 4E. Nigro
  1. 2F. De Giorgi
  2. 3F. Pambianchi
  3. 6M. Stendardo
  4. 18E. Altobello
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Monopoli have 5 wins, 4 draws and 6 defeats; Taranto have 2, 6 and 7.

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

Monopoli
DateOpponentScoreCompetition
Nov 27, 2016Melfi(away)2-3Serie C - Girone A
Nov 20, 2016Cosenza(away)1-2Serie C - Girone A
Nov 13, 2016Vibonese(home)0-2Serie C - Girone A
Nov 6, 2016Virtus Francavilla(away)0-0Serie C - Girone A
Oct 30, 2016Catanzaro(home)2-2Serie C - Girone A
Taranto
DateOpponentScoreCompetition
Nov 27, 2016Lecce(home)0-1Serie C - Girone A
Nov 20, 2016Reggiana(away)2-2Serie C - Girone A
Nov 14, 2016Virtus Francavilla(home)2-3Serie C - Girone A
Nov 6, 2016Paganese(away)0-2Serie C - Girone A
Oct 30, 2016Messina(home)1-1Serie C - Girone A

How many goals should we expect?

Monopoli score 1.1 and concede 1.3 goals per match over their last 15; Taranto score 0.8 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Monopoli1.11.358/156/15
Taranto0.81.347/154/15

Over the last 15 matches in all competitions.

A question about Monopoli vs Taranto?

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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