Premier League — Failed To Score
Libya · 2025/26
Failed To Score
| # | Team | MP | FTS | FTS% | Home% | Away% |
|---|---|---|---|---|---|---|
| 1 | 7 | 7 | 100% | 100% | 100% | |
| 2 | 9 | 6 | 67% | 60% | 75% | |
| 3 | 8 | 5 | 63% | 75% | 50% | |
| 4 | 8 | 5 | 63% | 25% | 100% | |
| 5 | 8 | 5 | 63% | 50% | 75% | |
| 6 | 11 | 5 | 45% | 20% | 67% | |
| 7 | 9 | 4 | 44% | 50% | 40% | |
| 8 | 8 | 3 | 38% | 50% | 25% | |
| 9 | 8 | 3 | 38% | 25% | 50% | |
| 10 | 8 | 3 | 38% | 25% | 50% | |
| 11 | 8 | 3 | 38% | 25% | 50% | |
| 12 | 8 | 3 | 38% | 0% | 75% | |
| 13 | 11 | 4 | 36% | 25% | 43% | |
| 14 | 9 | 3 | 33% | 50% | 20% | |
| 15 | 12 | 4 | 33% | 38% | 25% | |
| 16 | 9 | 3 | 33% | 50% | 20% | |
| 17 | 7 | 2 | 29% | 33% | 25% | |
| 18 | 11 | 3 | 27% | 33% | 20% | |
| 19 | 8 | 2 | 25% | 0% | 50% | |
| 20 | 8 | 2 | 25% | 25% | 25% | |
| 21 | 8 | 2 | 25% | 50% | 0% | |
| 22 | 9 | 2 | 22% | 25% | 20% | |
| 23 | 9 | 2 | 22% | 20% | 25% | |
| 24 | 10 | 2 | 20% | 29% | 0% | |
| 25 | 11 | 2 | 18% | 17% | 20% | |
| 26 | 12 | 2 | 17% | 17% | 17% | |
| 27 | 12 | 2 | 17% | 20% | 14% | |
| 28 | 7 | 1 | 14% | 0% | 33% | |
| 29 | 7 | 1 | 14% | 0% | 25% | |
| 30 | 7 | 1 | 14% | 33% | 0% | |
| 31 | 9 | 1 | 11% | 0% | 25% | |
| 32 | 11 | 1 | 9% | 20% | 0% | |
| 33 | 11 | 1 | 9% | 0% | 17% | |
| 34 | 10 | 0 | 0% | 0% | 0% | |
| 35 | 10 | 0 | 0% | 0% | 0% | |
| 36 | 8 | 0 | 0% | 0% | 0% |
Home / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | 4 | 4 | 100% | |
| 2 | 4 | 3 | 75% | |
| 3 | 5 | 3 | 60% | |
| 4 | 4 | 2 | 50% | |
| 5 | 4 | 2 | 50% | |
| 6 | 4 | 2 | 50% | |
| 7 | 4 | 2 | 50% | |
| 8 | 4 | 2 | 50% | |
| 9 | 4 | 2 | 50% | |
| 10 | 8 | 3 | 38% | |
| 11 | 3 | 1 | 33% | |
| 12 | 3 | 1 | 33% | |
| 13 | 6 | 2 | 33% | |
| 14 | 7 | 2 | 29% | |
| 15 | 4 | 1 | 25% | |
| 16 | 4 | 1 | 25% | |
| 17 | 4 | 1 | 25% | |
| 18 | 4 | 1 | 25% | |
| 19 | 4 | 1 | 25% | |
| 20 | 4 | 1 | 25% | |
| 21 | 4 | 1 | 25% | |
| 22 | 5 | 1 | 20% | |
| 23 | 5 | 1 | 20% | |
| 24 | 5 | 1 | 20% | |
| 25 | 5 | 1 | 20% | |
| 26 | 6 | 1 | 17% | |
| 27 | 6 | 1 | 17% | |
| 28 | 6 | 0 | 0% | |
| 29 | 4 | 0 | 0% | |
| 30 | 4 | 0 | 0% | |
| 31 | 4 | 0 | 0% | |
| 32 | 5 | 0 | 0% | |
| 33 | 5 | 0 | 0% | |
| 34 | 3 | 0 | 0% | |
| 35 | 4 | 0 | 0% | |
| 36 | 4 | 0 | 0% |
Away / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | 3 | 3 | 100% | |
| 2 | 4 | 4 | 100% | |
| 3 | 4 | 3 | 75% | |
| 4 | 4 | 3 | 75% | |
| 5 | 4 | 3 | 75% | |
| 6 | 6 | 4 | 67% | |
| 7 | 4 | 2 | 50% | |
| 8 | 4 | 2 | 50% | |
| 9 | 4 | 2 | 50% | |
| 10 | 4 | 2 | 50% | |
| 11 | 4 | 2 | 50% | |
| 12 | 7 | 3 | 43% | |
| 13 | 5 | 2 | 40% | |
| 14 | 3 | 1 | 33% | |
| 15 | 4 | 1 | 25% | |
| 16 | 4 | 1 | 25% | |
| 17 | 4 | 1 | 25% | |
| 18 | 4 | 1 | 25% | |
| 19 | 4 | 1 | 25% | |
| 20 | 4 | 1 | 25% | |
| 21 | 4 | 1 | 25% | |
| 22 | 5 | 1 | 20% | |
| 23 | 5 | 1 | 20% | |
| 24 | 5 | 1 | 20% | |
| 25 | 5 | 1 | 20% | |
| 26 | 5 | 1 | 20% | |
| 27 | 6 | 1 | 17% | |
| 28 | 6 | 1 | 17% | |
| 29 | 7 | 1 | 14% | |
| 30 | 4 | 0 | 0% | |
| 31 | 6 | 0 | 0% | |
| 32 | 6 | 0 | 0% | |
| 33 | 4 | 0 | 0% | |
| 34 | 4 | 0 | 0% | |
| 35 | 4 | 0 | 0% | |
| 36 | 3 | 0 | 0% |
Which teams fail to score most often?
Al-Andalus fails to score most often in the league — 100%
Al Qadisiyah Bani Walid is #2 for failed-to-score rate — 67%
Darnes is #3 for failed-to-score rate — 63%
Shabab Al-Ghar rarely fails to score — 0%
Al-Akhdar rarely fails to score — 0%
Al-Nasr rarely fails to score — 0%
League Blank Stats
- consists of 36 teams
- League failed-to-score rate: 29%
- Home FTS rate: 27%
- Away FTS rate: 31%
Premier League (Libya) — Failed To Score Analysis
In the Premier League (Libya), teams fail to score in 58% of matches this season. Al-Andalus fails to score the most, going blank in 100% of their games (7 matches), with 100% at home and 100% away. Shabab Al-Ghar 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.