Odisha vs Bengaluru: result 0-1 and analysis
Indian Super LeagueRegular Season - 7Kick-off on December 4, 2019 at 02:00 PM (UTC)Shree Shiv Chhatrapati Sports Complex, Pune, Mahārāṣṭra
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What was the result of Odisha vs Bengaluru?
Bengaluru won 0-1 on December 4, 2019.
Goalscorers
- 37′JuananBengaluru
What is the recent form of both teams?
Over their last 15 matches in all competitions, Odisha have 4 wins, 3 draws and 8 defeats; Bengaluru have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2019 | Chennaiyin(away) | 2-2 | Indian Super League |
| Nov 24, 2019 | ATK(home) | 0-0 | Indian Super League |
| Nov 8, 2019 | Kerala Blasters(away) | 0-0 | Indian Super League |
| Oct 31, 2019 | Mumbai City(away) | 4-2 | Indian Super League |
| Oct 26, 2019 | NorthEast United(away) | 1-2 | Indian Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 29, 2019 | Hyderabad(away) | 1-1 | Indian Super League |
| Nov 23, 2019 | Kerala Blasters(home) | 1-0 | Indian Super League |
| Nov 10, 2019 | Chennaiyin(home) | 3-0 | Indian Super League |
| Nov 3, 2019 | Jamshedpur(away) | 0-0 | Indian Super League |
| Oct 28, 2019 | Goa(away) | 1-1 | Indian Super League |
How many goals should we expect?
Odisha score 1.7 and concede 1.8 goals per match over their last 15; Bengaluru score 1.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Odisha | 1.7 | 1.8 | 3 | 10/15 | 12/15 |
| Bengaluru | 1.4 | 1.2 | 7 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Odisha sit 11th in Indian Super League (11 points from 13 matches) and Bengaluru sit 4th (23 points from 13 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Bengaluru | 13 | 6 | 5 | 2 | 18 | 12 | 23 |
| 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