Match

Latina vs Ternana: result 1-1 and analysis

Serie BRegular Season - 6Kick-off on September 24, 2016 at 01:00 PM (UTC)Stadio Comunale Domenico Francioni, Latina

Latina
1-1
Ternana

Full time

What was the result of Latina vs Ternana?

Latina and Ternana drew 1-1 on September 24, 2016.

Goalscorers

  • 26′R. BroscoLatina
  • 29′B. MeccarielloTernana

Official lineup for Latina vs Ternana

The starting elevens fielded at kick-off.

Latina

4-4-2
  1. 10R. Boakye
  2. 35D. Paponi
  1. 28C. D'Urso
  2. 18M. Acosty
  3. 30A. De Vitis
  4. 24F. Moretti
  1. 14M. Pinato
  2. 4Pol García
  3. 3M. Bruscagin
  4. 23R. Brosco
  1. 12C. Pinsoglio

Ternana

4-3-1-2
  1. 10C. Falletti
  2. 20F. Avenatti
  1. 28A. Palumbo
  1. 4M. Valjent
  2. 3Juan Ignacio Surraco Lamé
  3. 15Armin Bačinović
  1. 25M. Defendi
  2. 18L. Germoni
  3. 6B. Meccariello
  4. 2Damiano Zanon
  1. 1R. Di Gennaro
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What is the recent form of both teams?

Over their last 7 matches in all competitions, Latina have 1 win, 3 draws and 3 defeats; Ternana have 2, 3 and 2.

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

Latina
DateOpponentScoreCompetition
Sep 20, 2016Novara(away)2-2Serie B
Sep 17, 2016Benevento(home)1-1Serie B
Sep 10, 2016Frosinone(away)1-2Serie B
Sep 4, 2016Spezia(home)0-0Serie B
Aug 27, 2016Hellas Verona(away)1-4Serie B
Ternana
DateOpponentScoreCompetition
Sep 20, 2016Bari(home)0-0Serie B
Sep 17, 2016Perugia(away)1-1Serie B
Sep 11, 2016Spezia(home)1-1Serie B
Sep 7, 2016Pisa(home)1-0Serie B
Sep 3, 2016Cittadella(away)0-2Serie B

How many goals should we expect?

Latina score 0.9 and concede 1.4 goals per match over their last 7; Ternana score 0.7 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Latina0.91.424/73/7
Ternana0.70.932/70/7

Over the last 7 matches in all competitions.

A question about Latina vs Ternana?

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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