Match

Odisha vs Jamshedpur: result 2-1 and analysis

Indian Super LeagueRegular Season - 10Kick-off on December 27, 2019 at 02:00 PM (UTC)Kalinga Stadium, Bhubaneswar

Odisha
2-1
Jamshedpur

Full time

What was the result of Odisha vs Jamshedpur?

Odisha won 2-1 on December 27, 2019.

Goalscorers

  • 28′AridaneOdisha
  • 38′Aitor MonroyJamshedpur (pen.)
  • 45′AridaneOdisha

What is the recent form of both teams?

Over their last 15 matches in all competitions, Odisha have 3 wins, 3 draws and 9 defeats; Jamshedpur have 5, 5 and 5.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Odisha
DateOpponentScoreCompetition
Dec 22, 2019Goa(away)0-3Indian Super League
Dec 11, 2019Hyderabad(home)3-2Indian Super League
Dec 4, 2019Bengaluru(home)0-1Indian Super League
Nov 28, 2019Chennaiyin(away)2-2Indian Super League
Nov 24, 2019ATK(home)0-0Indian Super League
Jamshedpur
DateOpponentScoreCompetition
Dec 19, 2019Mumbai City(home)1-2Indian Super League
Dec 13, 2019Kerala Blasters(away)2-2Indian Super League
Dec 9, 2019Chennaiyin(home)1-1Indian Super League
Dec 2, 2019NorthEast United(home)1-1Indian Super League
Nov 26, 2019Goa(away)1-0Indian Super League

What does the head-to-head say?

Across the last 1 meetings: 0 Odisha win(s), 0 draw(s), 1 Jamshedpur win(s).

DateScoreCompetition
Oct 22, 2019Jamshedpur 2-1 OdishaIndian Super League

Last archived meeting: Jamshedpur vs Odisha on Oct 22, 2019

How many goals should we expect?

Odisha score 1.4 and concede 1.9 goals per match over their last 15; Jamshedpur score 1.5 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Odisha1.41.929/1511/15
Jamshedpur1.51.5411/159/15

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 Jamshedpur sit 5th (22 points from 13 matches).

2025 standings
#ClubPWDLGFGAPts
5Jamshedpur13643151022
11Odisha13256142211

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

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