City Club vs Chattogram: result 2-1 and analysis
Premier LeagueRegular Season - 3Kick-off on October 9, 2026 at 08:45 AM (UTC)
Full time
What was the result of City Club vs Chattogram?
City Club won 2-1 on October 9, 2026.
Goalscorers
- 4′E. IslamCity Club
- 45′M. IslamCity Club
- 79′564639Chattogram (pen.)
Official lineup for City Club vs Chattogram
The starting elevens fielded at kick-off.
City Club
- 9O. Okafor
- 17E. Islam
- 4F. Darboe
- 7Mohamed Sayde
- 10K. Solomon
- 34M. Hossain
- 40M. Khalek
- 3Y. Gurung
- 19R. Howleder
- 23K. Marma Aky
- 22S. Al Hasan
Chattogram
- 16S. Islam
- 24S. Hossain Sayem
- 5D. Chaudhary
- 6D. Kofi
- 7K. Hara
- 9R. Onwrebe
- 27M. Habib Ullah
- 2M. Alam
- 4M. Hasan
- 15N. Chakma
- 22M. Bappi Hasan
What is the recent form of both teams?
Over their last 3 matches in all competitions, City Club have 1 win, 2 draws and 0 defeats; Chattogram have 0, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2026 | Bangladesh Police(away) | 1-1 | Federation Cup |
| Oct 3, 2026 | Fortis(away) | 3-3 | Premier League |
| Sep 18, 2026 | Brothers Union(away) | 3-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2026 | Bangladesh Police(home) | 0-3 | Premier League |
| Sep 25, 2026 | Abahani(away) | 1-1 | Federation Cup |
| Sep 18, 2026 | Fortis(away) | 0-6 | Premier League |
How many goals should we expect?
City Club score 2.3 and concede 1.3 goals per match over their last 3; Chattogram score 0.3 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| City Club | 2.3 | 1.3 | 1 | 2/3 | 2/3 |
| Chattogram | 0.3 | 3.3 | 0 | 1/3 | 2/3 |
Over the last 3 matches in all competitions.
A question about City Club vs Chattogram?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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