Farashganj vs Abahani: result 1-0 and analysis
Premier LeagueRegular Season - 2Kick-off on August 2, 2017 at 12:00 PM (UTC)Bangabandhu National Stadium, Dhaka
Full time
What was the result of Farashganj vs Abahani?
Farashganj won 1-0 on August 2, 2017.
Goalscorers
- 76′121905Farashganj
Official lineup for Farashganj vs Abahani
The starting elevens fielded at kick-off.
Farashganj
- 77S. Khan
- 2M. Hossain
- 4K. Sabuj
- 7M. Sujon
- 12S. Naraka
- 15M. Mandy
- 17M. Hossain
- 24C. Amin
- 25A. Das
- 28M. Lilon
- 40M. Tuhin
Abahani
- 6E. Mahmud
- 7S. Rana
- 9E. Onuoha
- 11R. Miya
- 2N. Chowdhury
- 3W. Faisal
- 4R. Hasan
- 5S. Yussif
- 15S. Uddin
- 19T. Badsha
- 1S. Alam
What is the recent form of both teams?
In their last match in all competitions, Farashganj have 0 wins, 0 draws and 1 defeat; Abahani have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2017 | Abahani Chittagong(home) | 0-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2017 | Saif(home) | 3-2 | Premier League |
| May 31, 2017 | Mohun Bagan(home) | 1-1 | AFC Champions League Two |
| May 17, 2017 | Maziya(away) | 0-2 | AFC Champions League Two |
| May 3, 2017 | Bengaluru(home) | 2-0 | AFC Champions League Two |
| Apr 18, 2017 | Bengaluru(away) | 0-2 | AFC Champions League Two |
How many goals should we expect?
Farashganj score 0.0 and concede 2.0 goals per match in their last match; Abahani score 1.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Farashganj | 0.0 | 2.0 | 0 | 0/1 | 0/1 |
| Abahani | 1.8 | 1.1 | 5 | 7/15 | 7/15 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Abahani | 18 | 11 | 4 | 3 | 37 | 15 | 37 |
A question about Farashganj vs Abahani?
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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