USL Super League — Clean Sheets
USA · 2026/27
Clean Sheets
| # | Team | MP | CS | CS% | Home CS | Away CS |
|---|---|---|---|---|---|---|
| 1 |  Carolina Ascent W | 11 | 8 | 73% | 4 | 4 |
| 2 |  Lexington W | 10 | 3 | 30% | 2 | 1 |
| 3 |  Brooklyn W | 10 | 2 | 20% | 2 | 0 |
| 4 |  Dallas Trinity W | 10 | 2 | 20% | 2 | 0 |
| 5 |  Sporting JAX W | 10 | 2 | 20% | 1 | 1 |
| 6 |  Fort Lauderdale United W | 11 | 2 | 18% | 2 | 0 |
| 7 |  DC Power W | 10 | 1 | 10% | 1 | 0 |
| 8 |  Tampa Bay Sun W | 10 | 0 | 0% | 0 | 0 |
Home / Clean Sheets
| # | Team | MP | CS | % |
|---|---|---|---|---|
| 1 | Carolina Ascent W | 6 | 4 | 67% |
| 2 | Brooklyn W | 5 | 2 | 40% |
| 3 | Dallas Trinity W | 5 | 2 | 40% |
| 4 | Fort Lauderdale United W | 5 | 2 | 40% |
| 5 | Lexington W | 6 | 2 | 33% |
| 6 | DC Power W | 5 | 1 | 20% |
| 7 | Sporting JAX W | 5 | 1 | 20% |
| 8 | Tampa Bay Sun W | 4 | 0 | 0% |
Away / Clean Sheets
| # | Team | MP | CS | % |
|---|---|---|---|---|
| 1 | Carolina Ascent W | 5 | 4 | 80% |
| 2 | Lexington W | 4 | 1 | 25% |
| 3 | Sporting JAX W | 5 | 1 | 20% |
| 4 | Brooklyn W | 5 | 0 | 0% |
| 5 | DC Power W | 5 | 0 | 0% |
| 6 | Dallas Trinity W | 5 | 0 | 0% |
| 7 | Fort Lauderdale United W | 6 | 0 | 0% |
| 8 | Tampa Bay Sun W | 6 | 0 | 0% |
Which teams keep the most clean sheets?
Carolina Ascent W has the most clean sheets in the league — 73%
Lexington W is #2 for clean sheets — 30%
Brooklyn W is #3 for clean sheets — 20%
Tampa Bay Sun W keeps the fewest clean sheets — 0%
DC Power W keeps the fewest clean sheets — 10%
Fort Lauderdale United W keeps the fewest clean sheets — 18%
League Clean Sheet Stats
- consists of 8 teams
- League clean sheet rate: 24%
- Home clean sheet rate: 34%
- Away clean sheet rate: 15%
USL Super League (USA) — Clean Sheets Analysis
In the USL Super League (USA), 49% of matches end with a clean sheet for one of the teams. Carolina Ascent W leads with 8 clean sheets (73% of their games), including 4 at home and 4 away. Tampa Bay Sun W 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 — USA
- MLS All-Star Clean Sheets— Division Underground
- MLS Next Pro Clean Sheets— Division Gold
- Major League Soccer Clean Sheets— Division Premium
- NISA Clean Sheets— Division Underground
- NPSL Clean Sheets— Division Amateur
- NWSL - Liga MXF Summer Cup Clean Sheets— Division Women's Pro
- NWSL Women Clean Sheets— Division Women's Elite
- NWSL Women - Challenge Cup Clean Sheets— Division Women's Pro
- US Open Cup Clean Sheets— Division Gold
- USL Championship Clean Sheets— Division Pro
- USL League One Clean Sheets— Division Pro
- USL League One Cup Clean Sheets— Division SemiPro
- USL League Two Clean Sheets— Division SemiPro
- USL W League Clean Sheets— Division Women's Pro
- WPSL Clean Sheets— Division Women's Pro