Indian Super League — Failed To Score
India · 2026/27
Failed To Score
| # | Team | MP | FTS | FTS% | Home% | Away% |
|---|---|---|---|---|---|---|
| 1 | 4 | 3 | 75% | 100% | 67% | |
| 2 | 4 | 2 | 50% | 100% | 33% | |
| 3 | 3 | 1 | 33% | 33% | 0% | |
| 4 | 3 | 1 | 33% | 100% | 0% | |
| 5 | 4 | 1 | 25% | 0% | 33% | |
| 6 | 4 | 1 | 25% | 0% | 100% | |
| 7 | 4 | 1 | 25% | 0% | 50% | |
| 8 | 4 | 1 | 25% | 25% | 0% | |
| 9 | 4 | 0 | 0% | 0% | 0% | |
| 10 | 3 | 0 | 0% | 0% | 0% | |
| 11 | 3 | 0 | 0% | 0% | 0% | |
| 12 | 2 | 0 | 0% | 0% | 0% | |
| 13 | 4 | 0 | 0% | 0% | 0% |
Home / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | 1 | 1 | 100% | |
| 2 | 1 | 1 | 100% | |
| 3 | 1 | 1 | 100% | |
| 4 | 3 | 1 | 33% | |
| 5 | 4 | 1 | 25% | |
| 6 | 2 | 0 | 0% | |
| 7 | 2 | 0 | 0% | |
| 8 | 2 | 0 | 0% | |
| 9 | 1 | 0 | 0% | |
| 10 | 3 | 0 | 0% | |
| 11 | 2 | 0 | 0% | |
| 12 | 1 | 0 | 0% |
Away / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | 1 | 1 | 100% | |
| 2 | 3 | 2 | 67% | |
| 3 | 2 | 1 | 50% | |
| 4 | 3 | 1 | 33% | |
| 5 | 3 | 1 | 33% | |
| 6 | 2 | 0 | 0% | |
| 7 | 1 | 0 | 0% | |
| 8 | 1 | 0 | 0% | |
| 9 | 2 | 0 | 0% | |
| 10 | 2 | 0 | 0% | |
| 11 | 3 | 0 | 0% |
Which teams fail to score most often?
Chennaiyin fails to score most often in the league — 75%
Kerala Blasters is #2 for failed-to-score rate — 50%
Odisha is #3 for failed-to-score rate — 33%
SC Delhi rarely fails to score — 0%
Goa rarely fails to score — 0%
Bengaluru rarely fails to score — 0%
League Blank Stats
- consists of 10 teams
- League failed-to-score rate: 24%
- Home FTS rate: 19%
- Away FTS rate: 29%
Indian Super League (India) — Failed To Score Analysis
In the Indian Super League (India), teams fail to score in 48% of matches this season. Chennaiyin fails to score the most, going blank in 75% of their games (3 matches), with 100% at home and 67% away. SC Delhi has the most reliable attack, failing to score in only 0% 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 — India
- AIFF Super Cup Failed To Score— Division Pro
- Calcutta Premier Division Failed To Score— Division Underground
- I-League Failed To Score— Division Underground
- I-League - 2nd Division Failed To Score— Division Underground
- IFA Shield Failed To Score— Division Underground
- Santosh Trophy Failed To Score— Division Underground