Primera Nacional — Failed To Score
Argentina · 2026/27
Failed To Score
| # | Team | MP | FTS | FTS% | Home% | Away% |
|---|---|---|---|---|---|---|
| 1 | 36 | 21 | 58% | 56% | 61% | |
| 2 | 36 | 19 | 53% | 39% | 67% | |
| 3 | 36 | 19 | 53% | 39% | 67% | |
| 4 | 36 | 19 | 53% | 39% | 67% | |
| 5 | 36 | 18 | 50% | 50% | 50% | |
| 6 | 36 | 18 | 50% | 50% | 50% | |
| 7 | 36 | 18 | 50% | 44% | 56% | |
| 8 | 36 | 17 | 47% | 50% | 44% | |
| 9 | 36 | 17 | 47% | 44% | 50% | |
| 10 | 36 | 16 | 44% | 33% | 56% | |
| 11 | 36 | 16 | 44% | 39% | 50% | |
| 12 | 36 | 15 | 42% | 22% | 61% | |
| 13 | 36 | 15 | 42% | 39% | 44% | |
| 14 | 36 | 14 | 39% | 22% | 56% | |
| 15 | 36 | 14 | 39% | 39% | 39% | |
| 16 | 36 | 14 | 39% | 39% | 39% | |
| 17 | 36 | 14 | 39% | 33% | 44% | |
| 18 | 36 | 14 | 39% | 17% | 61% | |
| 19 | 36 | 14 | 39% | 33% | 44% | |
| 20 | 36 | 13 | 36% | 28% | 44% | |
| 21 | 36 | 13 | 36% | 22% | 50% | |
| 22 | 36 | 13 | 36% | 33% | 39% | |
| 23 | 36 | 13 | 36% | 33% | 39% | |
| 24 | 36 | 12 | 33% | 17% | 50% | |
| 25 | 36 | 12 | 33% | 28% | 39% | |
| 26 | 36 | 12 | 33% | 22% | 44% | |
| 27 | 36 | 11 | 31% | 17% | 44% | |
| 28 | 36 | 11 | 31% | 33% | 28% | |
| 29 | 36 | 11 | 31% | 6% | 56% | |
| 30 | 36 | 10 | 28% | 11% | 44% | |
| 31 | 36 | 10 | 28% | 17% | 39% | |
| 32 | 36 | 10 | 28% | 17% | 39% | |
| 33 | 36 | 9 | 25% | 11% | 39% | |
| 34 | 36 | 9 | 25% | 22% | 28% | |
| 35 | 36 | 8 | 22% | 17% | 28% | |
| 36 | 36 | 6 | 17% | 6% | 28% |
Home / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | 18 | 10 | 56% | |
| 2 | 18 | 9 | 50% | |
| 3 | 18 | 9 | 50% | |
| 4 | 18 | 9 | 50% | |
| 5 | 18 | 8 | 44% | |
| 6 | 18 | 8 | 44% | |
| 7 | 18 | 7 | 39% | |
| 8 | 18 | 7 | 39% | |
| 9 | 18 | 7 | 39% | |
| 10 | 18 | 7 | 39% | |
| 11 | 18 | 7 | 39% | |
| 12 | 18 | 7 | 39% | |
| 13 | 18 | 7 | 39% | |
| 14 | 18 | 6 | 33% | |
| 15 | 18 | 6 | 33% | |
| 16 | 18 | 6 | 33% | |
| 17 | 18 | 6 | 33% | |
| 18 | 18 | 6 | 33% | |
| 19 | 18 | 6 | 33% | |
| 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 | 3 | 17% | |
| 28 | 18 | 3 | 17% | |
| 29 | 18 | 3 | 17% | |
| 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% |
Away / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | 18 | 12 | 67% | |
| 2 | 18 | 12 | 67% | |
| 3 | 18 | 12 | 67% | |
| 4 | 18 | 11 | 61% | |
| 5 | 18 | 11 | 61% | |
| 6 | 18 | 11 | 61% | |
| 7 | 18 | 10 | 56% | |
| 8 | 18 | 10 | 56% | |
| 9 | 18 | 10 | 56% | |
| 10 | 18 | 10 | 56% | |
| 11 | 18 | 9 | 50% | |
| 12 | 18 | 9 | 50% | |
| 13 | 18 | 9 | 50% | |
| 14 | 18 | 9 | 50% | |
| 15 | 18 | 9 | 50% | |
| 16 | 18 | 9 | 50% | |
| 17 | 18 | 8 | 44% | |
| 18 | 18 | 8 | 44% | |
| 19 | 18 | 8 | 44% | |
| 20 | 18 | 8 | 44% | |
| 21 | 18 | 8 | 44% | |
| 22 | 18 | 8 | 44% | |
| 23 | 18 | 8 | 44% | |
| 24 | 18 | 8 | 44% | |
| 25 | 18 | 7 | 39% | |
| 26 | 18 | 7 | 39% | |
| 27 | 18 | 7 | 39% | |
| 28 | 18 | 7 | 39% | |
| 29 | 18 | 7 | 39% | |
| 30 | 18 | 7 | 39% | |
| 31 | 18 | 7 | 39% | |
| 32 | 18 | 7 | 39% | |
| 33 | 18 | 5 | 28% | |
| 34 | 18 | 5 | 28% | |
| 35 | 18 | 5 | 28% | |
| 36 | 18 | 5 | 28% |
Which teams fail to score most often?
Acassuso fails to score most often in the league — 58%
Patronato is #2 for failed-to-score rate — 53%
Quilmes is #3 for failed-to-score rate — 53%
Gimnasia Jujuy rarely fails to score — 17%
San Martin S.J. rarely fails to score — 22%
Atlanta rarely fails to score — 25%
League Blank Stats
- consists of 36 teams
- League failed-to-score rate: 38%
- Home FTS rate: 30%
- Away FTS rate: 47%
Primera Nacional (Argentina) — Failed To Score Analysis
In the Primera Nacional (Argentina), teams fail to score in 76% of matches this season. Acassuso fails to score the most, going blank in 58% of their games (21 matches), with 56% at home and 61% away. Gimnasia Jujuy has the most reliable attack, failing to score in only 17% of games.
Betting Angle — Low-Scoring Markets
A high failed-to-score rate is a strong signal for BTTS No, Under 1.5, and Clean Sheet markets when facing that team. When two high-FTS teams play each other, the Under 1.5 and even the 0-0 Correct Score become statistically viable bets.
Statistics Tables — Argentina
- Copa Argentina Failed To Score— Division Premium
- Copa de la Liga Profesional Failed To Score— Division Premium
- Copa de la Superliga Failed To Score— Division Underground
- Liga Profesional Argentina Failed To Score— Division Elite
- Primera B Metropolitana Failed To Score— Division Pro
- Primera C Failed To Score— Division Pro
- Primera D Failed To Score— Division Amateur
- Reserve League Failed To Score— Division Academy
- Super Copa Failed To Score— Division Elite
- Super Copa International Failed To Score— Division Pro
- Torneo Federal A Failed To Score— Division SemiPro
- Torneo Promocional Amateur Failed To Score— Division Underground
- Trofeo de Campeones de la Superliga Failed To Score— Division Underground