Jamshedpur vs Odisha: result 2-1 and analysis
Indian Super LeagueRegular Season - 1Kick-off on October 22, 2019 at 02:00 PM (UTC)JRD Tata Sports Complex, Jamshedpur, Jharkhand
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What was the result of Jamshedpur vs Odisha?
Jamshedpur won 2-1 on October 22, 2019.
Goalscorers
- 16′R. GharamiJamshedpur (o.g.)
- 40′AridaneOdisha
- 85′Sergio CastelJamshedpur
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jamshedpur have 5 wins, 6 draws and 4 defeats; Odisha have 3, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2019 | Goa(away) | 3-4 | AIFF Super Cup |
| Feb 27, 2019 | Bengaluru(home) | 5-1 | Indian Super League |
| Feb 23, 2019 | Chennaiyin(away) | 0-0 | Indian Super League |
| Feb 16, 2019 | Pune City(home) | 1-4 | Indian Super League |
| Feb 8, 2019 | Mumbai City(home) | 1-0 | Indian Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 13, 2019 | Goa(away) | 1-2 | Santosh Trophy |
| Apr 11, 2019 | Services(home) | 0-2 | Santosh Trophy |
How many goals should we expect?
Jamshedpur score 1.7 and concede 1.4 goals per match over their last 15; Odisha score 2.0 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jamshedpur | 1.7 | 1.4 | 4 | 11/15 | 10/15 |
| Odisha | 2.0 | 2.1 | 1 | 6/9 | 8/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Jamshedpur sit 5th in Indian Super League (22 points from 13 matches) and Odisha sit 11th (11 points from 13 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Jamshedpur | 13 | 6 | 4 | 3 | 15 | 10 | 22 |
| 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