Match

Real Kashmir vs Sudeva: result 1-1 and analysis

I-LeagueRegular Season - 3Kick-off on January 19, 2021 at 01:30 PM (UTC)Kalyani Stadium, Kalyani

Real Kashmir
1-1
Sudeva

Full time

What was the result of Real Kashmir vs Sudeva?

Real Kashmir and Sudeva drew 1-1 on January 19, 2021.

Goalscorers

  • 62′S. KharpanSudeva
  • 75′Mason RobertsonReal Kashmir

Official lineup for Real Kashmir vs Sudeva

The starting elevens fielded at kick-off.

Real Kashmir

  1. 7Abegunrin Lukman Adefemi
  2. 9A. Dipanda
  1. 10D. Farooq
  2. 12Farhan Ganie
  3. 20Lalrindika Ralte
  1. 2Arun Nagial
  2. 3Mason Robertson
  3. 4Zohib Islam Haroon Fakhruddin Amiri
  4. 5B. Chhetri
  5. 21Lalhmangaihsanga Ralte
  1. 1M. Samanta

Sudeva

  1. 7P. Mahata
  2. 12S. Kharpan
  1. 8K. Lewis
  2. 16W. Neihsial
  3. 32L. Khongsai
  4. 33M. Naorem
  1. 4L. Renthlei
  2. 5G. Gill
  3. 13A. Singh
  4. 19S. Kima
  1. 40R. Dagar
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Real Kashmir have 7 wins, 3 draws and 5 defeats; Sudeva have 1, 0 and 1.

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

Real Kashmir
DateOpponentScoreCompetition
Jan 15, 2021Chennai City(away)2-0I-League
Jan 10, 2021TRAU(home)1-1I-League
Mar 9, 2020East Bengal(home)0-1I-League
Mar 4, 2020NEROCA(home)1-0I-League
Feb 29, 2020Aizawl(home)2-2I-League
Sudeva
DateOpponentScoreCompetition
Jan 14, 2021Indian Arrows(home)3-0I-League
Jan 9, 2021Mohammedan(home)0-1I-League

How many goals should we expect?

Real Kashmir score 1.1 and concede 0.8 goals per match over their last 15; Sudeva score 1.5 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Real Kashmir1.10.865/153/15
Sudeva1.50.510/21/2

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
8Real Kashmir922515148

A question about Real Kashmir vs Sudeva?

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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