Match

Chennaiyin vs Manang Marshyangdi: result 2-0 and analysis

AFC Champions League TwoGroup stage · Matchday 2Kick-off on April 17, 2019 at 02:00 PM (UTC)Jawaharlal Nehru Stadium, Chennai

Chennaiyin
2-0
Manang Marshyangdi

Full time

What was the result of Chennaiyin vs Manang Marshyangdi?

Chennaiyin won 2-0 on April 17, 2019.

Goalscorers

  • 51′Christopher HerdChennaiyin
  • 53′MaílsonChennaiyin

Official lineup for Chennaiyin vs Manang Marshyangdi

The starting elevens fielded at kick-off.

Chennaiyin

  1. 12J. Lalpekhlua
  2. 20M. Rafi
  1. 11T. Singh
  2. 15A. Thapa
  3. 29Christopher Herd
  1. 13Eli Sabiá
  2. 18J. Lalrinzuala
  3. 26L. Renthlei
  4. 27Maílson
  5. 28G. Singh
  1. 1K. Singh

Manang Marshyangdi

  1. 14Anjan Bista
  2. 29O. Somide
  3. 99A. Oladipo
  1. 8B. Rai
  2. 10H. Gurung
  3. 11S. Shrestha
  1. 3B. Maharjan
  2. 13K. Shrestha
  3. 19D. Tamang
  4. 26O. Azeez
  1. 20B. Shrestha
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Chennaiyin have 5 wins, 3 draws and 7 defeats; Manang Marshyangdi have 0, 0 and 1.

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

Chennaiyin
DateOpponentScoreCompetition
Apr 13, 2019Goa(away)1-2AIFF Super Cup
Apr 10, 2019ATK(away)2-0AIFF Super Cup
Apr 7, 2019NorthEast United(home)2-1AIFF Super Cup
Apr 3, 2019Minerva Punjab(home)0-0AFC Champions League Two
Mar 29, 2019Mumbai City(home)2-0AIFF Super Cup
Manang Marshyangdi
DateOpponentScoreCompetition
Apr 3, 2019Abahani(home)0-1AFC Champions League Two

How many goals should we expect?

Chennaiyin score 0.8 and concede 1.1 goals per match over their last 15; Manang Marshyangdi score 0.0 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Chennaiyin0.81.165/156/15
Manang Marshyangdi0.01.000/10/1

Over the last 15 matches in all competitions.

A question about Chennaiyin vs Manang Marshyangdi?

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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