Match

East Bengal vs TRAU: result 2-1 and analysis

I-LeagueRegular Season - 4Kick-off on December 14, 2019 at 11:30 AM (UTC)Vivekananda Yuba Bharati Krirangan Stadium, Kolkata

East Bengal
2-1
TRAU

Full time

What was the result of East Bengal vs TRAU?

East Bengal won 2-1 on December 14, 2019.

Goalscorers

  • 17′Marc de la EspadaEast Bengal
  • 45′D. DevraniTRAU
  • 89′Martí CrespíEast Bengal

Official lineup for East Bengal vs TRAU

The starting elevens fielded at kick-off.

East Bengal

4-4-2
  1. 19R. Oliveira
  2. 18Marc de la Espada
  1. 11P. Mahata
  2. 16K. Aidara
  3. 23Juan Mera
  4. 27A. Ambekar
  1. 2A. Akhtar
  2. 5K. Singh
  3. 25Samad Ali Mallick
  4. 21Martí Crespí
  1. 1L. Ralte

TRAU

4-2-3-1
  1. 7K. Singh
  1. 10Olariche Princewell Emeka
  2. 30L. Singh
  3. 8W. Luwang
  1. 6P. Singh
  2. 19D. Meitei
  1. 4S. Singh
  2. 26D. Devrani
  3. 25O. Uche
  4. 14Abhishek Das
  1. 1G. Chabal
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What is the recent form of both teams?

Over their last 15 matches in all competitions, East Bengal have 9 wins, 5 draws and 1 defeat; TRAU have 0, 0 and 2.

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

East Bengal
DateOpponentScoreCompetition
Dec 10, 2019NEROCA(away)4-1I-League
Dec 7, 2019Minerva Punjab(away)1-1I-League
Dec 4, 2019Real Kashmir(home)1-1I-League
Mar 9, 2019Gokulam(away)2-1I-League
Mar 3, 2019Minerva Punjab(away)1-0I-League
TRAU
DateOpponentScoreCompetition
Dec 11, 2019Mohun Bagan(away)0-4I-League
Dec 1, 2019Chennai City(away)0-1I-League

How many goals should we expect?

East Bengal score 1.8 and concede 0.8 goals per match over their last 15; TRAU score 0.0 and concede 2.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
East Bengal1.80.8411/157/15
TRAU0.02.500/21/2

Over the last 15 matches in all competitions.

A question about East Bengal vs TRAU?

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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