Match

Transport United vs Bengaluru: result 0-0 and analysis

AFC Champions League TwoPreliminary RoundKick-off on January 23, 2018 at 12:00 PM (UTC)Changlimithang Stadium, Thimphu

Transport United
0-0
Bengaluru

Full time

What was the result of Transport United vs Bengaluru?

Transport United and Bengaluru drew 0-0 on January 23, 2018.

Official lineup for Transport United vs Bengaluru

The starting elevens fielded at kick-off.

Transport United

  1. 3Choki Wangchuk
  2. 9Tenzin Dorji
  3. 11Sonam Tobgay
  4. 14Dawa Tshering
  5. 25Sangay Dorji
  6. 77Kezang Wangdi
  1. 7Kencho Tobgay
  2. 12Thinley Dorji
  3. 16Dawa Tshering
  1. 5K. Penjor
  1. 21H. Gurung

Bengaluru

  1. 25D. Lalhlimpuia
  1. 8L. Rodrigues
  2. 17B. Haokip
  3. 19Toni
  4. 20A. George
  5. 30Malsawmzuala
  1. 4Z. Ralte
  2. 15S. Bose
  3. 22N. Kumar
  4. 27Prashanth Kalinga
  1. 28L. Ralte
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What is the recent form of both teams?

Over their last 3 matches in all competitions, Transport United have 2 wins, 0 draws and 1 defeat; Bengaluru have 5, 2 and 4.

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

Transport United
DateOpponentScoreCompetition
Jul 8, 2017Thimphu City(home)0-3Super League
Jul 1, 2017Thimphu(home)3-0Super League
Jun 28, 2017Druk United(away)4-1Super League
Bengaluru
DateOpponentScoreCompetition
Oct 18, 2017Istiqlol(home)2-2AFC Champions League Two
Sep 27, 2017Istiqlol(away)0-1AFC Champions League Two
Sep 13, 2017April 25(away)0-0AFC Champions League Two
Aug 23, 2017April 25(home)3-0AFC Champions League Two
May 31, 2017Maziya(home)1-0AFC Champions League Two

How many goals should we expect?

Transport United score 2.3 and concede 1.3 goals per match over their last 3; Bengaluru score 1.2 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Transport United2.31.311/33/3
Bengaluru1.21.054/115/11

Over the last 3 matches in all competitions.

A question about Transport United vs Bengaluru?

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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