Premier League — Failed To Score
Libya · 2025/26
Failed To Score
| # | Team | MP | FTS | FTS% | Home% | Away% |
|---|---|---|---|---|---|---|
| 1 | 14 | 13 | 93% | 100% | 86% | |
| 2 | 16 | 11 | 69% | 63% | 75% | |
| 3 | 16 | 9 | 56% | 63% | 50% | |
| 4 | 16 | 9 | 56% | 63% | 50% | |
| 5 | 18 | 10 | 56% | 50% | 63% | |
| 6 | 16 | 8 | 50% | 38% | 63% | |
| 7 | 18 | 9 | 50% | 56% | 44% | |
| 8 | 18 | 8 | 44% | 38% | 50% | |
| 9 | 16 | 7 | 44% | 50% | 38% | |
| 10 | 18 | 8 | 44% | 56% | 33% | |
| 11 | 16 | 7 | 44% | 25% | 63% | |
| 12 | 16 | 7 | 44% | 25% | 63% | |
| 13 | 23 | 9 | 39% | 42% | 36% | |
| 14 | 18 | 7 | 39% | 33% | 44% | |
| 15 | 18 | 7 | 39% | 33% | 44% | |
| 16 | 16 | 6 | 38% | 13% | 63% | |
| 17 | 14 | 5 | 36% | 43% | 29% | |
| 18 | 19 | 6 | 32% | 33% | 29% | |
| 19 | 16 | 5 | 31% | 38% | 25% | |
| 20 | 21 | 6 | 29% | 10% | 45% | |
| 21 | 21 | 6 | 29% | 30% | 27% | |
| 22 | 21 | 6 | 29% | 10% | 45% | |
| 23 | 18 | 5 | 28% | 22% | 33% | |
| 24 | 16 | 4 | 25% | 25% | 25% | |
| 25 | 16 | 4 | 25% | 25% | 25% | |
| 26 | 21 | 5 | 24% | 20% | 27% | |
| 27 | 14 | 3 | 21% | 14% | 29% | |
| 28 | 21 | 4 | 19% | 10% | 27% | |
| 29 | 16 | 3 | 19% | 13% | 25% | |
| 30 | 23 | 4 | 17% | 8% | 27% | |
| 31 | 23 | 4 | 17% | 27% | 8% | |
| 32 | 21 | 3 | 14% | 18% | 10% | |
| 33 | 14 | 2 | 14% | 14% | 14% | |
| 34 | 14 | 2 | 14% | 0% | 29% | |
| 35 | 19 | 1 | 5% | 11% | 0% | |
| 36 | 19 | 1 | 5% | 0% | 10% |
Home / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | 7 | 7 | 100% | |
| 2 | 8 | 5 | 63% | |
| 3 | 8 | 5 | 63% | |
| 4 | 8 | 5 | 63% | |
| 5 | 9 | 5 | 56% | |
| 6 | 9 | 5 | 56% | |
| 7 | 8 | 4 | 50% | |
| 8 | 10 | 5 | 50% | |
| 9 | 7 | 3 | 43% | |
| 10 | 12 | 5 | 42% | |
| 11 | 8 | 3 | 38% | |
| 12 | 8 | 3 | 38% | |
| 13 | 8 | 3 | 38% | |
| 14 | 9 | 3 | 33% | |
| 15 | 12 | 4 | 33% | |
| 16 | 9 | 3 | 33% | |
| 17 | 10 | 3 | 30% | |
| 18 | 11 | 3 | 27% | |
| 19 | 8 | 2 | 25% | |
| 20 | 8 | 2 | 25% | |
| 21 | 8 | 2 | 25% | |
| 22 | 8 | 2 | 25% | |
| 23 | 9 | 2 | 22% | |
| 24 | 10 | 2 | 20% | |
| 25 | 11 | 2 | 18% | |
| 26 | 7 | 1 | 14% | |
| 27 | 7 | 1 | 14% | |
| 28 | 8 | 1 | 13% | |
| 29 | 8 | 1 | 13% | |
| 30 | 9 | 1 | 11% | |
| 31 | 10 | 1 | 10% | |
| 32 | 10 | 1 | 10% | |
| 33 | 10 | 1 | 10% | |
| 34 | 12 | 1 | 8% | |
| 35 | 9 | 0 | 0% | |
| 36 | 7 | 0 | 0% |
Away / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | 7 | 6 | 86% | |
| 2 | 8 | 6 | 75% | |
| 3 | 8 | 5 | 63% | |
| 4 | 8 | 5 | 63% | |
| 5 | 8 | 5 | 63% | |
| 6 | 8 | 5 | 63% | |
| 7 | 8 | 5 | 63% | |
| 8 | 10 | 5 | 50% | |
| 9 | 8 | 4 | 50% | |
| 10 | 8 | 4 | 50% | |
| 11 | 11 | 5 | 45% | |
| 12 | 11 | 5 | 45% | |
| 13 | 9 | 4 | 44% | |
| 14 | 9 | 4 | 44% | |
| 15 | 9 | 4 | 44% | |
| 16 | 8 | 3 | 38% | |
| 17 | 11 | 4 | 36% | |
| 18 | 9 | 3 | 33% | |
| 19 | 9 | 3 | 33% | |
| 20 | 7 | 2 | 29% | |
| 21 | 7 | 2 | 29% | |
| 22 | 7 | 2 | 29% | |
| 23 | 7 | 2 | 29% | |
| 24 | 11 | 3 | 27% | |
| 25 | 11 | 3 | 27% | |
| 26 | 11 | 3 | 27% | |
| 27 | 11 | 3 | 27% | |
| 28 | 8 | 2 | 25% | |
| 29 | 8 | 2 | 25% | |
| 30 | 8 | 2 | 25% | |
| 31 | 8 | 2 | 25% | |
| 32 | 7 | 1 | 14% | |
| 33 | 10 | 1 | 10% | |
| 34 | 10 | 1 | 10% | |
| 35 | 12 | 1 | 8% | |
| 36 | 10 | 0 | 0% |
Which teams fail to score most often?
Al-Andalus fails to score most often in the league — 93%
Al Borouq is #2 for failed-to-score rate — 69%
Al-Anwar is #3 for failed-to-score rate — 56%
Al-Akhdar rarely fails to score — 5%
Al-Nasr rarely fails to score — 5%
Khaleej Sart rarely fails to score — 14%
League Blank Stats
- consists of 36 teams
- League failed-to-score rate: 33%
- Home FTS rate: 30%
- Away FTS rate: 37%
Premier League (Libya) — Failed To Score Analysis
In the Premier League (Libya), teams fail to score in 67% of matches this season. Al-Andalus fails to score the most, going blank in 93% of their games (13 matches), with 100% at home and 86% away. Al-Akhdar has the most reliable attack, failing to score in only 5% 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.