Premier League — Clean Sheets
Bangladesh · 2027/28
Clean Sheets
| # | Team | MP | CS | CS% | Home CS | Away CS |
|---|---|---|---|---|---|---|
| 1 | 4 | 4 | 100% | 2 | 2 | |
| 2 | 5 | 4 | 80% | 2 | 2 | |
| 3 | 3 | 2 | 67% | 1 | 1 | |
| 4 | 4 | 2 | 50% | 1 | 1 | |
| 5 | 5 | 2 | 40% | 0 | 2 | |
| 6 | 4 | 1 | 25% | 0 | 1 | |
| 7 | 5 | 1 | 20% | 1 | 0 | |
| 8 | 5 | 0 | 0% | 0 | 0 | |
| 9 | 5 | 0 | 0% | 0 | 0 | |
| 10 | 5 | 0 | 0% | 0 | 0 | |
| 11 | 4 | 0 | 0% | 0 | 0 | |
| 12 | 4 | 0 | 0% | 0 | 0 | |
| 13 | 5 | 0 | 0% | 0 | 0 |
Home / Clean Sheets
| # | Team | MP | CS | % |
|---|---|---|---|---|
| 1 | 2 | 2 | 100% | |
| 2 | 3 | 2 | 67% | |
| 3 | 2 | 1 | 50% | |
| 4 | 2 | 1 | 50% | |
| 5 | 4 | 1 | 25% | |
| 6 | 1 | 0 | 0% | |
| 7 | 3 | 0 | 0% | |
| 8 | 3 | 0 | 0% | |
| 9 | 2 | 0 | 0% | |
| 10 | 1 | 0 | 0% | |
| 11 | 3 | 0 | 0% | |
| 12 | 1 | 0 | 0% | |
| 13 | 2 | 0 | 0% |
Away / Clean Sheets
| # | Team | MP | CS | % |
|---|---|---|---|---|
| 1 | 2 | 2 | 100% | |
| 2 | 2 | 2 | 100% | |
| 3 | 1 | 1 | 100% | |
| 4 | 3 | 2 | 67% | |
| 5 | 2 | 1 | 50% | |
| 6 | 3 | 1 | 33% | |
| 7 | 2 | 0 | 0% | |
| 8 | 2 | 0 | 0% | |
| 9 | 3 | 0 | 0% | |
| 10 | 3 | 0 | 0% | |
| 11 | 1 | 0 | 0% | |
| 12 | 1 | 0 | 0% | |
| 13 | 4 | 0 | 0% |
Which teams keep the most clean sheets?
Mohammedan Dhaka has the most clean sheets in the league — 100%
Bangladesh Police is #2 for clean sheets — 80%
Fortis is #3 for clean sheets — 67%
Chattogram keeps the fewest clean sheets — 0%
Fakirerpool keeps the fewest clean sheets — 0%
Dhaka Wanderers keeps the fewest clean sheets — 0%
League Clean Sheet Stats
- consists of 13 teams
- League clean sheet rate: 28%
- Home clean sheet rate: 24%
- Away clean sheet rate: 31%
Premier League (Bangladesh) — Clean Sheets Analysis
In the Premier League (Bangladesh), 55% of matches end with a clean sheet for one of the teams. Mohammedan Dhaka leads with 4 clean sheets (100% of their games), including 2 at home and 2 away. Chattogram has the fewest clean sheets with only 0 (0%).
Betting Angle — Clean Sheet Markets
Clean sheet data is essential for BTTS No, Under 0.5, and Clean Sheet markets. Teams with a high home CS% but low away CS% are ideal candidates for BTTS No at home — back their opponents to fail to score when visiting.
Statistics Tables — Bangladesh
- Federation Cup Clean Sheets— Division Underground