Match

Sudeva vs Indian Arrows: result 3-0 and analysis

I-LeagueRegular Season - 2Kick-off on January 14, 2021 at 10:35 AM (UTC)Kalyani Stadium, Kalyani

Sudeva
3-0
Indian Arrows

Full time

What was the result of Sudeva vs Indian Arrows?

Sudeva won 3-0 on January 14, 2021.

Goalscorers

  • 40′K. LewisSudeva
  • 49′M. NaoremSudeva
  • 66′S. KharpanSudeva

Official lineup for Sudeva vs Indian Arrows

The starting elevens fielded at kick-off.

Sudeva

  1. 7P. Mahata
  2. 10Ajay Singh
  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

Indian Arrows

  1. 10Vanlalruatfela Thlacheu
  2. 12G. Singh
  1. 7L. Sailo
  2. 8V. Mohanan
  3. 14R. Shabong
  4. 16Shreyas Ketkar
  1. 2D. Halder
  2. 3S. Parray
  3. 5Leewan Castanha
  4. 25Abdul Hannan
  1. 22A. Prakash
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What is the recent form of both teams?

In their last match in all competitions, Sudeva have 0 wins, 0 draws and 1 defeat; Indian Arrows have 2, 3 and 10.

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

Sudeva
DateOpponentScoreCompetition
Jan 9, 2021Mohammedan(home)0-1I-League
Indian Arrows
DateOpponentScoreCompetition
Jan 10, 2021Churchill Brothers(home)2-5I-League
Mar 8, 2020TRAU(away)0-1I-League
Mar 3, 2020Minerva Punjab(home)1-1I-League
Feb 28, 2020Chennai City(home)0-2I-League
Feb 24, 2020Real Kashmir(away)0-1I-League

How many goals should we expect?

Sudeva score 0.0 and concede 1.0 goals per match in their last match; Indian Arrows score 0.5 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sudeva0.01.000/10/1
Indian Arrows0.51.525/153/15

Over the last match in all competitions.

A question about Sudeva vs Indian Arrows?

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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