Primera Nacional — Clean Sheets
Argentina · 2026/27
Clean Sheets
| # | Team | MP | CS | CS% | Home CS | Away CS |
|---|---|---|---|---|---|---|
| 1 | 36 | 25 | 69% | 13 | 12 | |
| 2 | 36 | 19 | 53% | 11 | 8 | |
| 3 | 36 | 17 | 47% | 11 | 6 | |
| 4 | 36 | 17 | 47% | 12 | 5 | |
| 5 | 36 | 17 | 47% | 7 | 10 | |
| 6 | 36 | 17 | 47% | 10 | 7 | |
| 7 | 36 | 17 | 47% | 11 | 6 | |
| 8 | 36 | 17 | 47% | 12 | 5 | |
| 9 | 36 | 17 | 47% | 10 | 7 | |
| 10 | 36 | 16 | 44% | 12 | 4 | |
| 11 | 36 | 16 | 44% | 8 | 8 | |
| 12 | 36 | 15 | 42% | 7 | 8 | |
| 13 | 36 | 15 | 42% | 10 | 5 | |
| 14 | 36 | 14 | 39% | 8 | 6 | |
| 15 | 36 | 14 | 39% | 10 | 4 | |
| 16 | 36 | 14 | 39% | 6 | 8 | |
| 17 | 36 | 14 | 39% | 7 | 7 | |
| 18 | 36 | 14 | 39% | 9 | 5 | |
| 19 | 36 | 14 | 39% | 7 | 7 | |
| 20 | 36 | 13 | 36% | 10 | 3 | |
| 21 | 36 | 13 | 36% | 5 | 8 | |
| 22 | 36 | 13 | 36% | 9 | 4 | |
| 23 | 36 | 13 | 36% | 7 | 6 | |
| 24 | 36 | 13 | 36% | 7 | 6 | |
| 25 | 36 | 13 | 36% | 9 | 4 | |
| 26 | 36 | 12 | 33% | 7 | 5 | |
| 27 | 36 | 12 | 33% | 9 | 3 | |
| 28 | 36 | 12 | 33% | 8 | 4 | |
| 29 | 36 | 11 | 31% | 9 | 2 | |
| 30 | 36 | 11 | 31% | 7 | 4 | |
| 31 | 36 | 10 | 28% | 6 | 4 | |
| 32 | 36 | 10 | 28% | 9 | 1 | |
| 33 | 36 | 10 | 28% | 6 | 4 | |
| 34 | 36 | 9 | 25% | 6 | 3 | |
| 35 | 36 | 7 | 19% | 5 | 2 | |
| 36 | 36 | 4 | 11% | 3 | 1 |
Home / Clean Sheets
| # | Team | MP | CS | % |
|---|---|---|---|---|
| 1 | 18 | 13 | 72% | |
| 2 | 18 | 12 | 67% | |
| 3 | 18 | 12 | 67% | |
| 4 | 18 | 12 | 67% | |
| 5 | 18 | 11 | 61% | |
| 6 | 18 | 11 | 61% | |
| 7 | 18 | 11 | 61% | |
| 8 | 18 | 10 | 56% | |
| 9 | 18 | 10 | 56% | |
| 10 | 18 | 10 | 56% | |
| 11 | 18 | 10 | 56% | |
| 12 | 18 | 10 | 56% | |
| 13 | 18 | 9 | 50% | |
| 14 | 18 | 9 | 50% | |
| 15 | 18 | 9 | 50% | |
| 16 | 18 | 9 | 50% | |
| 17 | 18 | 9 | 50% | |
| 18 | 18 | 9 | 50% | |
| 19 | 18 | 8 | 44% | |
| 20 | 18 | 8 | 44% | |
| 21 | 18 | 8 | 44% | |
| 22 | 18 | 7 | 39% | |
| 23 | 18 | 7 | 39% | |
| 24 | 18 | 7 | 39% | |
| 25 | 18 | 7 | 39% | |
| 26 | 18 | 7 | 39% | |
| 27 | 18 | 7 | 39% | |
| 28 | 18 | 7 | 39% | |
| 29 | 18 | 7 | 39% | |
| 30 | 18 | 6 | 33% | |
| 31 | 18 | 6 | 33% | |
| 32 | 18 | 6 | 33% | |
| 33 | 18 | 6 | 33% | |
| 34 | 18 | 5 | 28% | |
| 35 | 18 | 5 | 28% | |
| 36 | 18 | 3 | 17% |
Away / Clean Sheets
| # | Team | MP | CS | % |
|---|---|---|---|---|
| 1 | 18 | 12 | 67% | |
| 2 | 18 | 10 | 56% | |
| 3 | 18 | 8 | 44% | |
| 4 | 18 | 8 | 44% | |
| 5 | 18 | 8 | 44% | |
| 6 | 18 | 8 | 44% | |
| 7 | 18 | 8 | 44% | |
| 8 | 18 | 7 | 39% | |
| 9 | 18 | 7 | 39% | |
| 10 | 18 | 7 | 39% | |
| 11 | 18 | 7 | 39% | |
| 12 | 18 | 6 | 33% | |
| 13 | 18 | 6 | 33% | |
| 14 | 18 | 6 | 33% | |
| 15 | 18 | 6 | 33% | |
| 16 | 18 | 6 | 33% | |
| 17 | 18 | 5 | 28% | |
| 18 | 18 | 5 | 28% | |
| 19 | 18 | 5 | 28% | |
| 20 | 18 | 5 | 28% | |
| 21 | 18 | 5 | 28% | |
| 22 | 18 | 4 | 22% | |
| 23 | 18 | 4 | 22% | |
| 24 | 18 | 4 | 22% | |
| 25 | 18 | 4 | 22% | |
| 26 | 18 | 4 | 22% | |
| 27 | 18 | 4 | 22% | |
| 28 | 18 | 4 | 22% | |
| 29 | 18 | 4 | 22% | |
| 30 | 18 | 3 | 17% | |
| 31 | 18 | 3 | 17% | |
| 32 | 18 | 3 | 17% | |
| 33 | 18 | 2 | 11% | |
| 34 | 18 | 2 | 11% | |
| 35 | 18 | 1 | 6% | |
| 36 | 18 | 1 | 6% |
Which teams keep the most clean sheets?
Tristan Suarez has the most clean sheets in the league — 69%
Almirante Brown is #2 for clean sheets — 53%
Colon Santa Fe is #3 for clean sheets — 47%
Club Atlético Güemes keeps the fewest clean sheets — 11%
Gimnasia Jujuy keeps the fewest clean sheets — 19%
Almagro keeps the fewest clean sheets — 25%
League Clean Sheet Stats
- consists of 36 teams
- League clean sheet rate: 38%
- Home clean sheet rate: 47%
- Away clean sheet rate: 30%
Primera Nacional (Argentina) — Clean Sheets Analysis
In the Primera Nacional (Argentina), 76% of matches end with a clean sheet for one of the teams. Tristan Suarez leads with 25 clean sheets (69% of their games), including 13 at home and 12 away. Club Atlético Güemes has the fewest clean sheets with only 4 (11%).
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 — Argentina
- Copa Argentina Clean Sheets— Division Premium
- Copa de la Liga Profesional Clean Sheets— Division Premium
- Copa de la Superliga Clean Sheets— Division Underground
- Liga Profesional Argentina Clean Sheets— Division Elite
- Primera B Metropolitana Clean Sheets— Division Pro
- Primera C Clean Sheets— Division Pro
- Primera D Clean Sheets— Division Amateur
- Reserve League Clean Sheets— Division Academy
- Super Copa Clean Sheets— Division Elite
- Super Copa International Clean Sheets— Division Pro
- Torneo Federal A Clean Sheets— Division SemiPro
- Torneo Promocional Amateur Clean Sheets— Division Underground
- Trofeo de Campeones de la Superliga Clean Sheets— Division Underground