Bengaluru vs Mumbai City: result 1-1 and analysis
Indian Super LeagueRegular Season - 11Kick-off on December 9, 2018 at 02:00 PM (UTC)Sree Kanteerava Stadium, Bangalore
Full time
What was the result of Bengaluru vs Mumbai City?
Bengaluru and Mumbai City drew 1-1 on December 9, 2018.
Goalscorers
- 23′U. SinghBengaluru
- 31′M. SougouMumbai City
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bengaluru have 10 wins, 2 draws and 3 defeats; Mumbai City have 7, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 5, 2018 | NorthEast United(away) | 1-1 | Indian Super League |
| Nov 30, 2018 | Pune City(home) | 2-1 | Indian Super League |
| Nov 26, 2018 | Delhi Dynamos(home) | 1-0 | Indian Super League |
| Nov 22, 2018 | Goa(away) | 2-1 | Indian Super League |
| Nov 5, 2018 | Kerala Blasters(away) | 2-1 | Indian Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 6, 2018 | Chennaiyin(home) | 2-0 | Indian Super League |
| Dec 3, 2018 | Delhi Dynamos(away) | 4-2 | Indian Super League |
| Nov 24, 2018 | ATK(home) | 0-0 | Indian Super League |
| Nov 9, 2018 | NorthEast United(away) | 1-0 | Indian Super League |
| Nov 3, 2018 | Chennaiyin(away) | 1-0 | Indian Super League |
How many goals should we expect?
Bengaluru score 2.1 and concede 1.0 goals per match over their last 15; Mumbai City score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bengaluru | 2.1 | 1.0 | 5 | 8/15 | 10/15 |
| Mumbai City | 1.3 | 1.1 | 6 | 4/12 | 4/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Bengaluru sit 4th in Indian Super League (23 points from 13 matches) and Mumbai City sit 3rd (25 points from 13 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Mumbai City | 13 | 7 | 4 | 2 | 17 | 9 | 25 |
| 4 | Bengaluru | 13 | 6 | 5 | 2 | 18 | 12 | 23 |
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