Match

Guillermo Brown vs Villa Dalmine: result 3-1 and analysis

Primera NacionalRegular Season - 15Kick-off on November 19, 2016 at 08:00 PM (UTC)Estadio Raúl Conti, Puerto Madryn, Provincia de Chubut

Guillermo Brown
3-1
Villa Dalmine

Full time

What was the result of Guillermo Brown vs Villa Dalmine?

Guillermo Brown won 3-1 on November 19, 2016.

Goalscorers

  • 50′M. RivaderoGuillermo Brown
  • 55′5472Guillermo Brown
  • 61′E. CéricaVilla Dalmine
  • 83′T. FigueroaGuillermo Brown

What is the recent form of both teams?

Over their last 15 matches in all competitions, Guillermo Brown have 8 wins, 3 draws and 4 defeats; Villa Dalmine have 5, 5 and 5.

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

Guillermo Brown
DateOpponentScoreCompetition
Nov 13, 2016Douglas Haig(away)2-0Primera Nacional
Nov 6, 2016Estudiantes S.l.(home)4-1Primera Nacional
Oct 30, 2016Crucero Del Norte(away)0-4Primera Nacional
Oct 23, 2016San Martin Tucuman(home)4-0Primera Nacional
Oct 19, 2016Chacarita Juniors(away)2-0Primera Nacional
Villa Dalmine
DateOpponentScoreCompetition
Nov 13, 2016Brown DE Adrogue(home)3-0Primera Nacional
Nov 8, 2016Atletico Parana(away)0-1Primera Nacional
Nov 2, 2016Instituto Cordoba(away)1-1Primera Nacional
Oct 25, 2016Nueva Chicago(away)1-3Primera Nacional
Oct 21, 2016Douglas Haig(home)0-1Primera Nacional

What does the head-to-head say?

Across the last 2 meetings: 0 Guillermo Brown win(s), 1 draw(s), 1 Villa Dalmine win(s).

DateScoreCompetition
Jul 25, 2015Guillermo Brown 0-1 Villa DalminePrimera Nacional
Mar 14, 2015Villa Dalmine 1-1 Guillermo BrownPrimera Nacional

Last archived meeting: Guillermo Brown vs Villa Dalmine on Jul 25, 2015

How many goals should we expect?

Guillermo Brown score 1.6 and concede 0.9 goals per match over their last 15; Villa Dalmine score 1.2 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Guillermo Brown1.60.974/155/15
Villa Dalmine1.20.866/155/15

Over the last 15 matches in all competitions.

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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