Match

Paganese vs Taranto: result 2-0 and analysis

Serie C - Girone ARegular Season - 12Kick-off on November 6, 2016 at 07:30 PM (UTC)Stadio Marcello Torre, Pagani

Paganese
2-0
Taranto

Full time

What was the result of Paganese vs Taranto?

Paganese won 2-0 on November 6, 2016.

Goalscorers

  • 3′ReginaldoPaganese
  • 48′209550Paganese

Official lineup for Paganese vs Taranto

The starting elevens fielded at kick-off.

Paganese

  1. 8Reginaldo
  2. 11E. Cicerelli
  1. 5Manolo Pestrin
  2. 10F. Deli
  3. 14E. Herrera
  4. 1V. Marruocco
  5. 25S. Di Cuonzo
  6. 27S. Maiorano
  1. 3Giovanni Della Corte
  2. 13R. Alcibiade
  3. 30V. Camilleri

Taranto

  1. 9S. Magnaghi
  2. 10M. Bollino
  3. 21Toni García
  1. 5L. Paolucci
  2. 1R. Maurantonio
  3. 4E. Nigro
  4. 17F. Balzano
  5. 33G. Pirrone
  1. 2F. De Giorgi
  2. 3F. Pambianchi
  3. 18E. Altobello
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What is the recent form of both teams?

Over their last 11 matches in all competitions, Paganese have 3 wins, 1 draw and 7 defeats; Taranto have 2, 5 and 4.

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

Paganese
DateOpponentScoreCompetition
Oct 30, 2016Catania(away)1-2Serie C - Girone A
Oct 23, 2016Juve Stabia(home)1-2Serie C - Girone A
Oct 16, 2016Cosenza(away)1-2Serie C - Girone A
Oct 9, 2016Melfi(home)3-0Serie C - Girone A
Oct 5, 2016Virtus Francavilla(home)1-1Serie C - Girone A
Taranto
DateOpponentScoreCompetition
Oct 30, 2016Messina(home)1-1Serie C - Girone A
Oct 23, 2016Akragas(away)1-1Serie C - Girone A
Oct 16, 2016Fondi(home)0-2Serie C - Girone A
Oct 9, 2016Catanzaro(away)1-3Serie C - Girone A
Oct 2, 2016Catania(home)0-0Serie C - Girone A

How many goals should we expect?

Paganese score 1.1 and concede 1.3 goals per match over their last 11; Taranto score 0.7 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Paganese1.11.335/115/11
Taranto0.71.145/112/11

Over the last 11 matches in all competitions.

A question about Paganese 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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