Match

Bengaluru vs Mohun Bagan: result 2-1 and analysis

AFC Champions League TwoGroup Stage - 3Kick-off on March 14, 2017 at 01:30 PM (UTC)Sree Kanteerava Stadium, Bangalore

Bengaluru
2-1
Mohun Bagan

Full time

What was the result of Bengaluru vs Mohun Bagan?

Bengaluru won 2-1 on March 14, 2017.

Goalscorers

  • 36′Katsumi YusaMohun Bagan (pen.)
  • 51′S. JhinganBengaluru
  • 57′S. ChhetriBengaluru

Official lineup for Bengaluru vs Mohun Bagan

The starting elevens fielded at kick-off.

Bengaluru

  1. 11S. Chhetri
  2. 21U. Singh
  3. 25D. Lalhlimpuia
  1. 8L. Rodrigues
  2. 17Cameron Watson
  3. 31Chekiyot Kizhakkeveettill Vineeth
  1. 4Juanan
  2. 6J. Johnson
  3. 15S. Jhingan
  4. 24Salam Ranjan Singh
  1. 26A. Bhattacharja

Mohun Bagan

  1. 12J. Lalpekhlua
  2. 15B. Singh
  1. 6Bikramjit Singh
  2. 10Katsumi Yusa
  3. 16S. Nordé
  4. 28S. Singh
  1. 14Eduardo Soares Ferreira
  2. 17S. Bose
  3. 20P. Kotal
  4. 45Anas Edathodika
  1. 22Shilton Paul
Ask the AI a questionSign-in required.

What is the recent form of both teams?

In their last match in all competitions, Bengaluru have 0 wins, 0 draws and 1 defeat; Mohun Bagan have 4, 1 and 1.

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

Bengaluru
DateOpponentScoreCompetition
Jan 31, 2017Al Wihdat(away)1-2AFC Champions League Elite
Mohun Bagan
DateOpponentScoreCompetition
Feb 28, 2017Valencia(home)4-1AFC Champions League Two
Feb 21, 2017Valencia(away)1-1AFC Champions League Two
Feb 7, 2017Colombo(home)2-1AFC Champions League Two
Jan 31, 2017Colombo(away)2-1AFC Champions League Two
Feb 2, 2016Shandong Luneng(away)0-6AFC Champions League Elite

How many goals should we expect?

Bengaluru score 1.0 and concede 2.0 goals per match in their last match; Mohun Bagan score 2.0 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Bengaluru1.02.001/11/1
Mohun Bagan2.01.805/65/6

Over the last match in all competitions.

A question about Bengaluru vs Mohun Bagan?

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

Other matches in the same round

Next match: Bengaluru and Mohun Bagan

Ready to know everything about football?