Match

Latina vs Salernitana: result 1-1 and analysis

Serie BRegular Season - 15Kick-off on November 19, 2016 at 02:00 PM (UTC)Stadio Comunale Domenico Francioni, Latina

Latina
1-1
Salernitana

Full time

What was the result of Latina vs Salernitana?

Latina and Salernitana drew 1-1 on November 19, 2016.

Goalscorers

  • 49′L. ScagliaLatina
  • 82′M. CodaSalernitana

Official lineup for Latina vs Salernitana

The starting elevens fielded at kick-off.

Latina

3-5-2
  1. 7Daniele Corvia
  2. 19F. Bandinelli
  1. 18M. Acosty
  2. 21Luca Di Matteo
  3. 8L. Scaglia
  4. 17MacDonald Mariga Wanyama
  5. 4Pol García
  1. 3M. Bruscagin
  2. 23R. Brosco
  3. 5P. Dellafiore
  1. 12C. Pinsoglio

Salernitana

3-4-1-2
  1. 19R. Improta
  2. 11A. Donnarumma
  1. 9M. Coda
  1. 10A. Rosina
  2. 20M. Odjer
  3. 5Ronaldo
  4. 4A. Bernardini
  1. 3L. Vitale
  2. 6Raffaele Schiavi
  3. 29G. Perico
  1. 1P. Terracciano
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Latina have 3 wins, 7 draws and 5 defeats; Salernitana have 3, 8 and 4.

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

Latina
DateOpponentScoreCompetition
Nov 12, 2016Vicenza Virtus(away)1-0Serie B
Nov 5, 2016Bari(home)2-1Serie B
Oct 29, 2016Cittadella(away)1-2Serie B
Oct 25, 2016PRO Vercelli(away)1-1Serie B
Oct 22, 2016Pisa(home)1-1Serie B
Salernitana
DateOpponentScoreCompetition
Nov 13, 2016Ternana(home)4-2Serie B
Nov 5, 2016Cittadella(away)0-2Serie B
Oct 29, 2016Pisa(home)0-0Serie B
Oct 25, 2016Ascoli(away)0-0Serie B
Oct 22, 2016Virtus Entella(home)1-1Serie B

How many goals should we expect?

Latina score 1.1 and concede 1.3 goals per match over their last 15; Salernitana score 1.2 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Latina1.11.3310/156/15
Salernitana1.21.249/155/15

Over the last 15 matches in all competitions.

A question about Latina vs Salernitana?

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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