Match

Farashganj vs Saif: result 0-1 and analysis

Premier LeagueRegular Season - 3Kick-off on August 9, 2017 at 01:15 PM (UTC)Bangabandhu National Stadium, Dhaka

Farashganj
0-1
Saif

Full time

What was the result of Farashganj vs Saif?

Saif won 0-1 on August 9, 2017.

Goalscorers

  • 55′T. BarmanSaif

Official lineup for Farashganj vs Saif

The starting elevens fielded at kick-off.

Farashganj

  1. 10Matthew Chinedu
  2. 77S. Khan
  3. 2M. Hossain
  4. 4K. Sabuj
  5. 7M. Sujon
  6. 12S. Naraka
  7. 15M. Mandy
  8. 17M. Hossain
  9. 25A. Das
  10. 28M. Lilon
  11. 40M. Tuhin

Saif

  1. 29Mohammed Rahim Uddin
  1. 7J. Rana
  2. 9M. Miah
  3. 10H. Biswas
  4. 33Déiner Andrés Córdoba Escarpeta
  5. 14Mohamed Al Amin Hossain
  1. 2Mohamed Ariful Islam
  2. 3S. Ahmed
  3. 4T. Barman
  4. 5Mohamed Riyadul Hasan Rafi
  1. 1Anisur Rahman Zico
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What is the recent form of both teams?

Over their last 2 matches in all competitions, Farashganj have 1 win, 0 draws and 1 defeat; Saif have 1, 0 and 1.

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

Farashganj
DateOpponentScoreCompetition
Aug 2, 2017Abahani(home)1-0Premier League
Jul 30, 2017Abahani Chittagong(home)0-2Premier League
Saif
DateOpponentScoreCompetition
Aug 5, 2017Arambagh(home)1-0Premier League
Jul 28, 2017Abahani(away)2-3Premier League

How many goals should we expect?

Farashganj score 0.5 and concede 1.0 goals per match over their last 2; Saif score 1.5 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Farashganj0.51.010/20/2
Saif1.51.511/21/2

Over the last 2 matches in all competitions.

A question about Farashganj vs Saif?

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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