Match

Bengaluru vs Abahani: result 2-0 and analysis

AFC Champions League TwoGroup Stage - 5Kick-off on April 18, 2017 at 01:30 PM (UTC)Sree Kanteerava Stadium, Bangalore

Bengaluru
2-0
Abahani

Full time

What was the result of Bengaluru vs Abahani?

Bengaluru won 2-0 on April 18, 2017.

Goalscorers

  • 40′N. KumarBengaluru
  • 82′Marjan JugovićBengaluru

Official lineup for Bengaluru vs Abahani

The starting elevens fielded at kick-off.

Bengaluru

  1. 7S. Doungel
  2. 11S. Chhetri
  3. 25D. Lalhlimpuia
  1. 8L. Rodrigues
  2. 14E. Lyngdoh
  1. 4Juanan
  2. 6J. Johnson
  3. 10H. Khabra
  4. 22N. Kumar
  5. 24Salam Ranjan Singh
  1. 28L. Ralte

Abahani

  1. 20N. Newaj Jibon
  2. 23Jonathan David Brown
  1. 9S. Rana
  2. 29E. Onuoha
  1. 3W. Faisal
  2. 14M. Al Mamun Miah
  3. 19T. Badsha
  4. 22R. Hasan
  5. 27Y. Khan
  6. 35N. Chowdhury
  1. 1S. Alam
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What is the recent form of both teams?

Over their last 3 matches in all competitions, Bengaluru have 2 wins, 0 draws and 1 defeat; Abahani have 11, 2 and 2.

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

Bengaluru
DateOpponentScoreCompetition
Apr 4, 2017Maziya(away)1-0AFC Champions League Two
Mar 14, 2017Mohun Bagan(home)2-1AFC Champions League Two
Jan 31, 2017Al Wihdat(away)1-2AFC Champions League Elite
Abahani
DateOpponentScoreCompetition
Apr 4, 2017Mohun Bagan(away)1-3AFC Champions League Two
Mar 14, 2017Maziya(home)0-2AFC Champions League Two
Dec 30, 2016Rahmatgonj MFS(away)3-1Premier League
Dec 26, 2016Baridhara(home)4-0Premier League
Dec 15, 2016Sheikh Jamal(home)3-2Premier League

How many goals should we expect?

Bengaluru score 1.3 and concede 1.0 goals per match over their last 3; Abahani score 2.3 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Bengaluru1.31.012/32/3
Abahani2.30.959/1510/15

Over the last 3 matches in all competitions.

A question about Bengaluru vs Abahani?

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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