Bengaluru vs Jamshedpur: result 2-2 and analysis
Indian Super LeagueRegular Season - 2Kick-off on October 7, 2018 at 02:00 PM (UTC)Sree Kanteerava Stadium, Bangalore
Full time
What was the result of Bengaluru vs Jamshedpur?
Bengaluru and Jamshedpur drew 2-2 on October 7, 2018.
Goalscorers
- 45′N. KumarBengaluru
- 81′Gourav MukhiJamshedpur
- 88′S. ChhetriBengaluru
- 90′CidonchaJamshedpur
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bengaluru have 12 wins, 0 draws and 3 defeats; Jamshedpur have 1, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2018 | Chennaiyin(home) | 1-0 | Indian Super League |
| Aug 29, 2018 | Altyn Asyr(away) | 0-2 | AFC Champions League Two |
| Aug 22, 2018 | Altyn Asyr(home) | 2-3 | AFC Champions League Two |
| May 16, 2018 | Abahani(away) | 4-0 | AFC Champions League Two |
| May 2, 2018 | Aizawl(home) | 5-0 | AFC Champions League Two |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2018 | Mumbai City(away) | 2-0 | Indian Super League |
| Apr 12, 2018 | Goa(home) | 1-5 | AIFF Super Cup |
| Apr 2, 2018 | Minerva Punjab(home) | 0-0 | AIFF Super Cup |
How many goals should we expect?
Bengaluru score 2.5 and concede 1.0 goals per match over their last 15; Jamshedpur score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bengaluru | 2.5 | 1.0 | 6 | 7/15 | 10/15 |
| Jamshedpur | 1.0 | 1.7 | 2 | 1/3 | 1/3 |
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 Jamshedpur sit 5th (22 points from 13 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Bengaluru | 13 | 6 | 5 | 2 | 18 | 12 | 23 |
| 5 | Jamshedpur | 13 | 6 | 4 | 3 | 15 | 10 | 22 |
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