Match

Chennai City vs Indian Arrows: result 4-1 and analysis

I-LeagueRegular Season - 1Kick-off on October 26, 2018 at 11:30 AM (UTC)Nehru Stadium Coimbatore, Coimbatore

Chennai City
4-1
Indian Arrows

Full time

What was the result of Chennai City vs Indian Arrows?

Chennai City won 4-1 on October 26, 2018.

Goalscorers

  • 2′A. KiyamIndian Arrows
  • 32′Pedro ManziChennai City
  • 49′Pedro ManziChennai City
  • 64′Pedro ManziChennai City (pen.)
  • 76′A. JesurajChennai City

Official lineup for Chennai City vs Indian Arrows

The starting elevens fielded at kick-off.

Chennai City

  1. 19Pedro Manzi
  1. 7Sandro Rodríguez
  2. 11A. Jesuraj
  3. 14Néstor Gordillo
  4. 25M. Regin
  1. 2Tarif Akhand
  2. 4Eslava
  3. 8E. Vanspaul
  4. 13G. Bora
  5. 18A. Kumar
  1. 21Kabir Thaufiq

Indian Arrows

  1. 9R. Ali
  2. 26G. Singh
  1. 3Jitendra Singh
  2. 8A. Kiyam
  3. 15J. Singh
  4. 17R. Kannoly Praveen
  1. 4A. Ali
  2. 5N. Gahlot
  3. 18A. Rai
  4. 21S. Stalin
  1. 1P. Gill
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What is the recent form of both teams?

In their last match in all competitions, Chennai City have 0 wins, 0 draws and 1 defeat; Indian Arrows have 0, 0 and 1.

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

Chennai City
DateOpponentScoreCompetition
Mar 16, 2018ATK(away)1-4AIFF Super Cup
Indian Arrows
DateOpponentScoreCompetition
Mar 16, 2018Mumbai City(away)1-2AIFF Super Cup

How many goals should we expect?

Chennai City score 1.0 and concede 4.0 goals per match in their last match; Indian Arrows score 1.0 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Chennai City1.04.001/11/1
Indian Arrows1.02.001/11/1

Over the last match in all competitions.

A question about Chennai City 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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