Match

Saif vs Muktijoddha SKC: result 2-0 and analysis

Premier LeagueRegular Season - 4Kick-off on August 18, 2017 at 11:00 AM (UTC)Mymensingh Stadium, Mymensingh

Saif
2-0
Muktijoddha SKC

Full time

What was the result of Saif vs Muktijoddha SKC?

Saif won 2-0 on August 18, 2017.

Goalscorers

  • 54′Hember Arley Valencia OlayaSaif
  • 74′M. MiahSaif

Official lineup for Saif vs Muktijoddha SKC

The starting elevens fielded at kick-off.

Saif

  1. 77Hember Arley Valencia Olaya
  1. 6J. Bhuyan
  2. 7J. Rana
  3. 9M. Miah
  4. 10H. Biswas
  5. 33Déiner Andrés Córdoba Escarpeta
  1. 2Mohamed Ariful Islam
  2. 3S. Ahmed
  3. 4T. Barman
  4. 5Mohamed Riyadul Hasan Rafi
  1. 1Anisur Rahman Zico

Muktijoddha SKC

  1. 6S. Bipul
  2. 8Mohamed Nazmul Islam Rasel
  3. 77Rohit Sarkar
  4. 3T. Rana
  5. 14A. Ali
  6. 18S. Bhowmik
  7. 24A. Inusah
  8. 99Islam Mohamed
  1. 5S. Haque
  2. 23M. Alam
  1. 1U. Barua
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What is the recent form of both teams?

Over their last 3 matches in all competitions, Saif have 2 wins, 0 draws and 1 defeat; Muktijoddha SKC have 6, 3 and 6.

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

Saif
DateOpponentScoreCompetition
Aug 9, 2017Farashganj(away)1-0Premier League
Aug 5, 2017Arambagh(home)1-0Premier League
Jul 28, 2017Abahani(away)2-3Premier League
Muktijoddha SKC
DateOpponentScoreCompetition
Aug 9, 2017Arambagh(home)2-0Premier League
Aug 4, 2017Rahmatgonj MFS(away)3-2Premier League
Jul 30, 2017Sheikh Russel(home)0-3Premier League
Dec 31, 2016Feni(away)0-2Premier League
Dec 26, 2016Abahani Chittagong(home)1-1Premier League

How many goals should we expect?

Saif score 1.3 and concede 1.0 goals per match over their last 3; Muktijoddha SKC score 1.1 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Saif1.31.021/31/3
Muktijoddha SKC1.11.465/154/15

Over the last 3 matches in all competitions.

A question about Saif vs Muktijoddha SKC?

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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