Match

Inter Kashi vs Jamshedpur: result 0-2 and analysis

AIFF Super CupGroup Stage - 3Kick-off on November 1, 2025 at 11:00 AM (UTC)

Inter Kashi
0-2
Jamshedpur

Full time

What was the result of Inter Kashi vs Jamshedpur?

Jamshedpur won 0-2 on November 1, 2025.

Goalscorers

  • 38′M. BouliJamshedpur
  • 82′Manvir SinghJamshedpur

Official lineup for Inter Kashi vs Jamshedpur

The starting elevens fielded at kick-off.

Inter Kashi

  1. 23A. Jha
  2. 25S. Passi
  1. 8P. Singh
  2. 15S. Fernandes
  1. 2W. Vaz
  2. 4David Bollo
  3. 12A. Bhardwaj
  4. 16S. Mandi
  5. 24K. Beyong
  6. 27P. Das
  1. 1S. Dhas

Jamshedpur

  1. 7V. Barretto
  2. 11M. Sanan
  3. 54M. Bouli
  1. 14P. Halder
  2. 17C. Lalhriatpuia
  3. 21N. Stojanovic
  4. 28G. Singh
  1. 4P. Chaudhari
  2. 23S. Golui
  3. 77N. Barla
  1. 1A. Gomes
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Inter Kashi have 6 wins, 5 draws and 4 defeats; Jamshedpur have 5, 3 and 7.

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

Inter Kashi
DateOpponentScoreCompetition
Oct 29, 2025Goa(away)0-3AIFF Super Cup
Oct 26, 2025NorthEast United(away)2-2AIFF Super Cup
Apr 27, 2025Mumbai City(home)0-1AIFF Super Cup
Apr 23, 2025Bengaluru(away)1-1AIFF Super Cup
Apr 6, 2025Rajasthan United(home)3-1I-League
Jamshedpur
DateOpponentScoreCompetition
Oct 29, 2025NorthEast United(home)2-2AIFF Super Cup
Oct 26, 2025Goa(away)0-2AIFF Super Cup
May 3, 2025Goa(away)0-3AIFF Super Cup
Apr 30, 2025Mumbai City(away)1-0AIFF Super Cup
Apr 27, 2025NorthEast United(away)0-0AIFF Super Cup

How many goals should we expect?

Inter Kashi score 1.5 and concede 1.5 goals per match over their last 15; Jamshedpur score 1.1 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Inter Kashi1.51.539/1510/15
Jamshedpur1.11.655/156/15

Over the last 15 matches in all competitions.

A question about Inter Kashi vs Jamshedpur?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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