Match

Latina vs Trapani: result 2-0 and analysis

Serie BRegular Season - 8Kick-off on October 9, 2016 at 01:00 PM (UTC)Stadio Comunale Domenico Francioni, Latina

Latina
2-0
Trapani

Full time

What was the result of Latina vs Trapani?

Latina won 2-0 on October 9, 2016.

Goalscorers

  • 38′R. BoakyeLatina (pen.)
  • 40′M. AcostyLatina

Official lineup for Latina vs Trapani

The starting elevens fielded at kick-off.

Latina

3-5-2
  1. 10R. Boakye
  2. 35D. Paponi
  1. 28C. D'Urso
  2. 29M. Rocca
  3. 18M. Acosty
  4. 21Luca Di Matteo
  5. 17MacDonald Mariga Wanyama
  1. 13M. Coppolaro
  2. 3M. Bruscagin
  3. 5P. Dellafiore
  1. 12C. Pinsoglio

Trapani

3-5-2
  1. 18N. Citro
  2. 19Andrea Ferretti
  1. 26S. Colombatto
  2. 20Igor Coronado
  3. 7L. Nizzetto
  4. 32T. Casasola
  5. 4Luca Pagliarulo
  1. 6M. Legittimo
  2. 13P. Fazio
  3. 29Simone Rizzato
  1. 1Guido Guerrieri
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What is the recent form of both teams?

Over their last 9 matches in all competitions, Latina have 1 win, 5 draws and 3 defeats; Trapani have 1, 5 and 3.

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

Latina
DateOpponentScoreCompetition
Oct 2, 2016Cesena(away)2-2Serie B
Sep 24, 2016Ternana(home)1-1Serie B
Sep 20, 2016Novara(away)2-2Serie B
Sep 17, 2016Benevento(home)1-1Serie B
Sep 10, 2016Frosinone(away)1-2Serie B
Trapani
DateOpponentScoreCompetition
Oct 1, 2016Cittadella(home)0-2Serie B
Sep 24, 2016Salernitana(away)0-2Serie B
Sep 20, 2016Spezia(home)0-0Serie B
Sep 17, 2016Ascoli(home)1-1Serie B
Sep 10, 2016Avellino(away)0-0Serie B

How many goals should we expect?

Latina score 1.0 and concede 1.4 goals per match over their last 9; Trapani score 0.8 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Latina1.01.426/94/9
Trapani0.81.133/92/9

Over the last 9 matches in all competitions.

A question about Latina vs Trapani?

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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