Match

Latina vs Brescia: result 1-1 and analysis

Serie BRegular Season - 19Kick-off on December 17, 2016 at 02:00 PM (UTC)Stadio Comunale Domenico Francioni, Latina

Latina
1-1
Brescia

Full time

What was the result of Latina vs Brescia?

Latina and Brescia drew 1-1 on December 17, 2016.

Goalscorers

  • 70′D. BisoliBrescia
  • 83′R. BoakyeLatina (pen.)

Official lineup for Latina vs Brescia

The starting elevens fielded at kick-off.

Latina

3-4-3
  1. 35D. Paponi
  2. 19F. Bandinelli
  3. 8L. Scaglia
  1. 17MacDonald Mariga Wanyama
  2. 4Pol García
  3. 27Gilberto
  4. 31Constantin Nica
  1. 3M. Bruscagin
  2. 23R. Brosco
  3. 5P. Dellafiore
  1. 12C. Pinsoglio

Brescia

4-3-3
  1. 21F. Bonazzoli
  2. 9Andrea Caracciolo
  3. 20E. Ndoj
  1. 25D. Bisoli
  2. 8J. Dall'Oglio
  3. 3G. Pinzi
  1. 4R. Coly
  2. 5M. Somma
  3. 17A. Calabresi
  4. 2Joel Untersee
  1. 15S. Minelli
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Latina have 3 wins, 10 draws and 2 defeats; Brescia have 4, 5 and 6.

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

Latina
DateOpponentScoreCompetition
Dec 10, 2016Ascoli(away)2-2Serie B
Dec 3, 2016Virtus Entella(home)1-1Serie B
Nov 26, 2016Spal(away)0-0Serie B
Nov 19, 2016Salernitana(home)1-1Serie B
Nov 12, 2016Vicenza Virtus(away)1-0Serie B
Brescia
DateOpponentScoreCompetition
Dec 11, 2016Novara(home)0-0Serie B
Dec 3, 2016Ternana(away)0-1Serie B
Nov 26, 2016Ascoli(home)1-0Serie B
Nov 19, 2016Benevento(away)0-4Serie B
Nov 12, 2016Spal(away)2-3Serie B

How many goals should we expect?

Latina score 1.2 and concede 1.1 goals per match over their last 15; Brescia score 1.1 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Latina1.21.1311/155/15
Brescia1.11.637/158/15

Over the last 15 matches in all competitions.

A question about Latina vs Brescia?

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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