Match

Team BJMC vs Saif: result 0-0 and analysis

Premier LeagueRegular Season - 7Kick-off on September 7, 2017 at 11:00 AM (UTC)Shahid Bulu Stadium, Maijdee

Team BJMC
0-0
Saif

Full time

What was the result of Team BJMC vs Saif?

Team BJMC and Saif drew 0-0 on September 7, 2017.

Official lineup for Team BJMC vs Saif

The starting elevens fielded at kick-off.

Team BJMC

  1. 9E. Kingsley
  2. 34M. Hasan
  1. 15M. Shapon
  2. 17A. Al Mamun
  3. 23M. Simul
  4. 24Shankar Das
  5. 26M. Tutul
  6. 30B. Esaie
  7. 35Sumon Das
  1. 3S. Mia
  1. 22A. Islam

Saif

  1. 77Hember Arley Valencia Olaya
  1. 6J. Bhuyan
  2. 9M. Miah
  3. 10H. Biswas
  4. 21M. Shadhin
  5. 33Déiner Andrés Córdoba Escarpeta
  6. 15M. Russel
  1. 3S. Ahmed
  2. 4T. Barman
  3. 5Mohamed Riyadul Hasan Rafi
  1. 1Anisur Rahman Zico
Ask the AI a questionSign-in required.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Team BJMC have 3 wins, 7 draws and 5 defeats; Saif have 5, 0 and 1.

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

Team BJMC
DateOpponentScoreCompetition
Aug 27, 2017Mohammedan Dhaka(away)1-3Premier League
Aug 21, 2017Farashganj(home)1-0Premier League
Aug 11, 2017Abahani(home)0-0Premier League
Aug 7, 2017Abahani Chittagong(home)0-2Premier League
Aug 3, 2017Sheikh Jamal(home)0-1Premier League
Saif
DateOpponentScoreCompetition
Aug 26, 2017Brothers Union(home)5-0Premier League
Aug 22, 2017Mohammedan Dhaka(away)3-2Premier League
Aug 18, 2017Muktijoddha SKC(home)2-0Premier League
Aug 9, 2017Farashganj(away)1-0Premier League
Aug 5, 2017Arambagh(home)1-0Premier League

How many goals should we expect?

Team BJMC score 0.9 and concede 1.3 goals per match over their last 15; Saif score 2.3 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Team BJMC0.91.357/156/15
Saif2.30.842/63/6

Over the last 15 matches in all competitions.

A question about Team BJMC 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

Other matches in the same round

Ready to know everything about football?