I-League - 2nd Division — Failed To Score
India · 2026
Failed To Score
| # | Team | MP | FTS | FTS% | Home% | Away% |
|---|---|---|---|---|---|---|
| 1 |  Sudeva | 8 | 4 | 50% | 25% | 75% |
| 2 |  SC Bengaluru | 8 | 3 | 38% | 50% | 25% |
| 3 |  Myj-Gmsc | 8 | 3 | 38% | 25% | 50% |
| 4 |  NEROCA | 8 | 2 | 25% | 25% | 25% |
| 5 |  Bengaluru United | 8 | 2 | 25% | 0% | 50% |
| 6 |  Karbi Anglong Morning Star FC | 8 | 2 | 25% | 50% | 0% |
| 7 |  United | 8 | 1 | 13% | 0% | 25% |
| 8 |  Sporting Goa | 8 | 1 | 13% | 25% | 0% |
| 9 |  Delhi FC | 8 | 0 | 0% | 0% | 0% |
Home / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | SC Bengaluru | 4 | 2 | 50% |
| 2 | Karbi Anglong Morning Star FC | 4 | 2 | 50% |
| 3 | NEROCA | 4 | 1 | 25% |
| 4 | Sudeva | 4 | 1 | 25% |
| 5 | Sporting Goa | 4 | 1 | 25% |
| 6 | Myj-Gmsc | 4 | 1 | 25% |
| 7 | United | 4 | 0 | 0% |
| 8 | Bengaluru United | 4 | 0 | 0% |
| 9 | Delhi FC | 4 | 0 | 0% |
Away / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | Sudeva | 4 | 3 | 75% |
| 2 | Bengaluru United | 4 | 2 | 50% |
| 3 | Myj-Gmsc | 4 | 2 | 50% |
| 4 | NEROCA | 4 | 1 | 25% |
| 5 | United | 4 | 1 | 25% |
| 6 | SC Bengaluru | 4 | 1 | 25% |
| 7 | Delhi FC | 4 | 0 | 0% |
| 8 | Sporting Goa | 4 | 0 | 0% |
| 9 | Karbi Anglong Morning Star FC | 4 | 0 | 0% |
Which teams fail to score most often?
Sudeva fails to score most often in the league — 50%
SC Bengaluru is #2 for failed-to-score rate — 38%
Myj-Gmsc is #3 for failed-to-score rate — 38%
Delhi FC rarely fails to score — 0%
Sporting Goa rarely fails to score — 13%
United rarely fails to score — 13%
League Blank Stats
- consists of 9 teams
- League failed-to-score rate: 25%
- Home FTS rate: 22%
- Away FTS rate: 28%
I-League - 2nd Division (India) — Failed To Score Analysis
In the I-League - 2nd Division (India), teams fail to score in 50% of matches this season. Sudeva fails to score the most, going blank in 50% of their games (4 matches), with 25% at home and 75% away. Delhi FC 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
- IFA Shield Failed To Score— Division Underground
- Indian Super League Failed To Score— Division Gold
- Santosh Trophy Failed To Score— Division Underground