Match

Latina vs Pisa: result 1-1 and analysis

Serie BRegular Season - 10Kick-off on October 22, 2016 at 01:00 PM (UTC)Stadio Comunale Domenico Francioni, Latina

Latina
1-1
Pisa

Full time

What was the result of Latina vs Pisa?

Latina and Pisa drew 1-1 on October 22, 2016.

Goalscorers

  • 8′D. PaponiLatina
  • 62′D. ManniniPisa

Official lineup for Latina vs Pisa

The starting elevens fielded at kick-off.

Latina

3-5-2
  1. 35D. Paponi
  2. 28C. D'Urso
  1. 18M. Acosty
  2. 30A. De Vitis
  3. 21Luca Di Matteo
  4. 8L. Scaglia
  5. 17MacDonald Mariga Wanyama
  1. 13M. Coppolaro
  2. 3M. Bruscagin
  3. 5P. Dellafiore
  1. 12C. Pinsoglio

Pisa

4-3-1-2
  1. 27G. Sanseverino
  2. 8L. Verna
  1. 10I. Lores
  1. 7D. Mannini
  2. 19A. Lazzari
  3. 24P. Golubović
  1. 15D. Del Fabro
  2. 13L. Crescenzi
  3. 3Alessandro Longhi
  4. 4Andrea Lisuzzo
  1. 1S. Ujkani
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What is the recent form of both teams?

Over their last 11 matches in all competitions, Latina have 2 wins, 5 draws and 4 defeats; Pisa have 4, 4 and 3.

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

Latina
DateOpponentScoreCompetition
Oct 15, 2016Carpi(away)0-2Serie B
Oct 9, 2016Trapani(home)2-0Serie B
Oct 2, 2016Cesena(away)2-2Serie B
Sep 24, 2016Ternana(home)1-1Serie B
Sep 20, 2016Novara(away)2-2Serie B
Pisa
DateOpponentScoreCompetition
Oct 15, 2016Vicenza Virtus(home)0-1Serie B
Oct 9, 2016Spal(home)0-1Serie B
Oct 3, 2016Carpi(away)1-1Serie B
Sep 24, 2016Ascoli(home)2-1Serie B
Sep 20, 2016Frosinone(away)0-0Serie B

How many goals should we expect?

Latina score 1.0 and concede 1.4 goals per match over their last 11; Pisa score 0.8 and concede 0.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Latina1.01.436/114/11
Pisa0.80.653/112/11

Over the last 11 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
7Pisa631211810

A question about Latina vs Pisa?

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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