Match

Mumbai City vs Bengaluru: result 1-0 and analysis

Indian Super LeagueRegular Season - 13Kick-off on January 27, 2019 at 02:00 PM (UTC)Mumbai Football Arena, Mumbai

Mumbai City
1-0
Bengaluru

Full time

What was the result of Mumbai City vs Bengaluru?

Mumbai City won 1-0 on January 27, 2019.

Goalscorers

  • 29′Paulo Ricardo Ribeiro de Jesus MachadoMumbai City

What is the recent form of both teams?

Over their last 14 matches in all competitions, Mumbai City have 8 wins, 3 draws and 3 defeats; Bengaluru have 10, 3 and 2.

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

Mumbai City
DateOpponentScoreCompetition
Dec 16, 2018Kerala Blasters(home)6-1Indian Super League
Dec 9, 2018Bengaluru(away)1-1Indian Super League
Dec 6, 2018Chennaiyin(home)2-0Indian Super League
Dec 3, 2018Delhi Dynamos(away)4-2Indian Super League
Nov 24, 2018ATK(home)0-0Indian Super League
Bengaluru
DateOpponentScoreCompetition
Dec 13, 2018ATK(home)1-0Indian Super League
Dec 9, 2018Mumbai City(home)1-1Indian Super League
Dec 5, 2018NorthEast United(away)1-1Indian Super League
Nov 30, 2018Pune City(home)2-1Indian Super League
Nov 26, 2018Delhi Dynamos(home)1-0Indian Super League

What does the head-to-head say?

Across the last 1 meetings: 0 Mumbai City win(s), 1 draw(s), 0 Bengaluru win(s).

DateScoreCompetition
Dec 9, 2018Bengaluru 1-1 Mumbai CityIndian Super League

Last archived meeting: Bengaluru vs Mumbai City on Dec 9, 2018

How many goals should we expect?

Mumbai City score 1.6 and concede 1.1 goals per match over their last 14; Bengaluru score 1.9 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mumbai City1.61.166/145/14
Bengaluru1.90.968/159/15

Over the last 14 matches in all competitions.

Where do both teams sit in the table?

Mumbai City sit 3rd in Indian Super League (25 points from 13 matches) and Bengaluru sit 4th (23 points from 13 matches).

2025 standings
#ClubPWDLGFGAPts
3Mumbai City1374217925
4Bengaluru13652181223

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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