Match

Latina vs Avellino: result 0-0 and analysis

Serie BRegular Season - 21Kick-off on December 30, 2016 at 07:30 PM (UTC)Stadio Comunale Domenico Francioni, Latina

Latina
0-0
Avellino

Full time

What was the result of Latina vs Avellino?

Latina and Avellino drew 0-0 on December 30, 2016.

Official lineup for Latina vs Avellino

The starting elevens fielded at kick-off.

Latina

3-4-3
  1. 10R. Boakye
  2. 35D. Paponi
  3. 19F. Bandinelli
  1. 33G. Rolando
  2. 29M. Rocca
  3. 8L. Scaglia
  4. 17MacDonald Mariga Wanyama
  1. 4Pol García
  2. 23R. Brosco
  3. 5P. Dellafiore
  1. 12C. Pinsoglio

Avellino

4-4-2
  1. 7D. Verde
  2. 10Luigi Castaldo
  1. 33M. Ardemagni
  2. 21S. Oméonga
  3. 8Angelo D'Angelo
  4. 20F. Paghera
  1. 25W. Jidayi
  2. 3M. Perrotta
  3. 5B. Djimsiti
  4. 32A. González
  1. 1P. Frattali
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Latina have 3 wins, 10 draws and 2 defeats; Avellino have 5, 3 and 7.

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

Latina
DateOpponentScoreCompetition
Dec 24, 2016Perugia(away)1-1Serie B
Dec 17, 2016Brescia(home)1-1Serie B
Dec 10, 2016Ascoli(away)2-2Serie B
Dec 3, 2016Virtus Entella(home)1-1Serie B
Nov 26, 2016Spal(away)0-0Serie B
Avellino
DateOpponentScoreCompetition
Dec 24, 2016Salernitana(home)3-2Serie B
Dec 17, 2016Bari(away)1-2Serie B
Dec 10, 2016Benevento(home)1-1Serie B
Dec 3, 2016Ascoli(home)1-2Serie B
Nov 26, 2016Cesena(away)0-3Serie B

How many goals should we expect?

Latina score 1.1 and concede 1.1 goals per match over their last 15; Avellino score 0.9 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Latina1.11.1311/154/15
Avellino0.91.446/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
6Avellino631211710

A question about Latina vs Avellino?

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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