Match

Frosinone vs Latina: result 2-1 and analysis

Serie BRegular Season - 3Kick-off on September 10, 2016 at 01:00 PM (UTC)Stadio Benito Stirpe, Frosinone

Frosinone
2-1
Latina

Full time

What was the result of Frosinone vs Latina?

Frosinone won 2-1 on September 10, 2016.

Goalscorers

  • 52′F. DionisiFrosinone
  • 64′F. DionisiFrosinone
  • 87′M. AcostyLatina

Official lineup for Frosinone vs Latina

The starting elevens fielded at kick-off.

Frosinone

4-3-3
  1. 17L. Paganini
  2. 9D. Ciofani
  3. 18F. Dionisi
  1. 5M. Gori
  2. 10D. Soddimo
  3. 3R. Crivello
  1. 11O. Kragl
  2. 13M. Ciofani
  3. 24Vasyl Pryyma
  4. 15L. Ariaudo
  1. 22F. Bardi

Latina

3-5-2
  1. 35D. Paponi
  2. 28C. D'Urso
  1. 18M. Acosty
  2. 30A. De Vitis
  3. 8L. Scaglia
  4. 17MacDonald Mariga Wanyama
  5. 4Pol García
  1. 27Gilberto
  2. 23R. Brosco
  3. 5P. Dellafiore
  1. 12C. Pinsoglio
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Frosinone have 4 wins, 2 draws and 9 defeats; Latina have 1, 1 and 2.

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

Frosinone
DateOpponentScoreCompetition
Sep 3, 2016Brescia(away)0-2Serie B
Aug 27, 2016Virtus Entella(home)2-0Serie B
Aug 13, 2016Pescara(away)0-2Coppa Italia
Aug 7, 2016Como(home)3-0Coppa Italia
May 14, 2016Napoli(away)0-4Serie A
Latina
DateOpponentScoreCompetition
Sep 4, 2016Spezia(home)0-0Serie B
Aug 27, 2016Hellas Verona(away)1-4Serie B
Aug 13, 2016Novara(away)0-1Coppa Italia
Aug 7, 2016Matera(home)1-0Coppa Italia

How many goals should we expect?

Frosinone score 0.9 and concede 1.8 goals per match over their last 15; Latina score 0.5 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Frosinone0.91.844/157/15
Latina0.51.321/41/4

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
2Frosinone3823123763481

A question about Frosinone vs Latina?

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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