Mumbai City vs Odisha: result 2-4 and analysis
Indian Super LeagueRegular Season - 3Kick-off on October 31, 2019 at 02:00 PM (UTC)Mumbai Football Arena, Mumbai
Full time
What was the result of Mumbai City vs Odisha?
Odisha won 2-4 on October 31, 2019.
Goalscorers
- 6′Xisco HernándezOdisha
- 21′AridaneOdisha
- 40′J. MawihmingthangaOdisha
- 51′Mohamed LarbiMumbai City (pen.)
- 72′AridaneOdisha
- 90′DorronsoroMumbai City (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mumbai City have 7 wins, 2 draws and 6 defeats; Odisha have 3, 0 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Chennaiyin(away) | 0-0 | Indian Super League |
| Oct 24, 2019 | Kerala Blasters(away) | 1-0 | Indian Super League |
| Mar 29, 2019 | Chennaiyin(away) | 0-2 | AIFF Super Cup |
| Mar 12, 2019 | Goa(away) | 1-0 | Indian Super League |
| Mar 9, 2019 | Goa(home) | 1-5 | Indian Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2019 | NorthEast United(away) | 1-2 | Indian Super League |
| Oct 22, 2019 | Jamshedpur(away) | 1-2 | Indian Super League |
| Sep 26, 2019 | West Bengal(away) | 0-4 | Santosh Trophy |
| Sep 22, 2019 | Bihar(home) | 6-1 | Santosh Trophy |
| Apr 15, 2019 | Delhi(away) | 1-2 | Santosh Trophy |
How many goals should we expect?
Mumbai City score 1.4 and concede 1.3 goals per match over their last 15; Odisha score 1.8 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mumbai City | 1.4 | 1.3 | 5 | 6/15 | 5/15 |
| Odisha | 1.8 | 2.1 | 1 | 8/11 | 10/11 |
Over the last 15 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 Odisha sit 11th (11 points from 13 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Mumbai City | 13 | 7 | 4 | 2 | 17 | 9 | 25 |
| 11 | Odisha | 13 | 2 | 5 | 6 | 14 | 22 | 11 |
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