Match

Delhi Dynamos vs ATK: result 1-2 and analysis

Indian Super LeagueRegular Season - 2Kick-off on October 17, 2018 at 02:00 PM (UTC)Jawaharlal Nehru Stadium, New Delhi

Delhi Dynamos
1-2
ATK

Full time

What was the result of Delhi Dynamos vs ATK?

ATK won 1-2 on October 17, 2018.

Goalscorers

  • 20′B. SinghATK
  • 54′P. KotalDelhi Dynamos
  • 84′N. El MaimouniATK

Official lineup for Delhi Dynamos vs ATK

The starting elevens fielded at kick-off.

Delhi Dynamos

4-2-3-1
  1. 99Andrija Kaluđerović
  1. 7L. Chhangte
  2. 10R. Mihelič
  3. 22N. Sekar
  1. 16V. Rai
  2. 15S. Sarangi
  1. 21N. Das
  2. 26R. Gharami
  3. 24Martí Crespí
  4. 20P. Kotal
  1. 13Dorronsoro

ATK

4-2-3-1
  1. 9K. Uche
  1. 15B. Singh
  2. 12Lanzarote
  3. 11K. Thatal
  1. 17P. Halder
  2. 7Éverton Leandro dos Santos Pinto
  1. 6R. Lallawmawma
  2. 4J. Johnson
  3. 3Gérson
  4. 2A. Khongjee
  1. 29A. Bhattacharja
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What is the recent form of both teams?

Over their last 2 matches in all competitions, Delhi Dynamos have 0 wins, 1 draw and 1 defeat; ATK have 1, 0 and 3.

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

Delhi Dynamos
DateOpponentScoreCompetition
Oct 3, 2018Pune City(home)1-1Indian Super League
Mar 15, 2018Churchill Brothers(home)1-2AIFF Super Cup
ATK
DateOpponentScoreCompetition
Oct 4, 2018NorthEast United(home)0-1Indian Super League
Sep 29, 2018Kerala Blasters(home)0-2Indian Super League
Apr 3, 2018Goa(away)1-3AIFF Super Cup
Mar 16, 2018Chennai City(home)4-1AIFF Super Cup

How many goals should we expect?

Delhi Dynamos score 1.0 and concede 1.5 goals per match over their last 2; ATK score 1.3 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Delhi Dynamos1.01.502/21/2
ATK1.31.802/42/4

Over the last 2 matches in all competitions.

A question about Delhi Dynamos vs ATK?

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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