Goa vs Bengaluru: result 1-2 and analysis
Indian Super LeagueRegular Season - 8Kick-off on November 22, 2018 at 02:00 PM (UTC)Pandit Jawaharlal Nehru Stadium, Margao
Full time
What was the result of Goa vs Bengaluru?
Bengaluru won 1-2 on November 22, 2018.
Goalscorers
- 34′R. BhekeBengaluru
- 72′B. FernandesGoa
- 77′S. ChhetriBengaluru
What is the recent form of both teams?
Over their last 10 matches in all competitions, Goa have 7 wins, 1 draws and 2 defeats; Bengaluru have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2018 | Kerala Blasters(away) | 3-1 | Indian Super League |
| Nov 8, 2018 | Delhi Dynamos(home) | 3-2 | Indian Super League |
| Nov 1, 2018 | Jamshedpur(away) | 1-4 | Indian Super League |
| Oct 28, 2018 | Pune City(home) | 4-2 | Indian Super League |
| Oct 24, 2018 | Mumbai City(home) | 5-0 | Indian Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2018 | Kerala Blasters(away) | 2-1 | Indian Super League |
| Oct 31, 2018 | ATK(away) | 2-1 | Indian Super League |
| Oct 22, 2018 | Pune City(away) | 3-0 | Indian Super League |
| Oct 7, 2018 | Jamshedpur(home) | 2-2 | Indian Super League |
| Sep 30, 2018 | Chennaiyin(home) | 1-0 | Indian Super League |
How many goals should we expect?
Goa score 2.9 and concede 1.5 goals per match over their last 10; Bengaluru score 2.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Goa | 2.9 | 1.5 | 1 | 8/10 | 9/10 |
| Bengaluru | 2.4 | 1.1 | 5 | 8/15 | 11/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Goa sit 7th in Indian Super League (20 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 |
| 7 | Goa | 13 | 5 | 5 | 3 | 15 | 11 | 20 |
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