A-League — Failed To Score
Australia · 2026/27
Failed To Score
| # | Team | MP | FTS | FTS% | Home% | Away% |
|---|---|---|---|---|---|---|
| 1 | 3 | 2 | 67% | 0% | 100% | |
| 2 | 2 | 1 | 50% | 0% | 50% | |
| 3 | 3 | 1 | 33% | 0% | 50% | |
| 4 | 3 | 1 | 33% | 50% | 0% | |
| 5 | 3 | 1 | 33% | 50% | 0% | |
| 6 | 3 | 1 | 33% | 50% | 0% | |
| 7 | 3 | 0 | 0% | 0% | 0% | |
| 8 | 3 | 0 | 0% | 0% | 0% | |
| 9 | 3 | 0 | 0% | 0% | 0% | |
| 10 | 3 | 0 | 0% | 0% | 0% | |
| 11 | 2 | 0 | 0% | 0% | 0% | |
| 12 | 3 | 0 | 0% | 0% | 0% |
Home / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | 2 | 1 | 50% | |
| 2 | 2 | 1 | 50% | |
| 3 | 2 | 1 | 50% | |
| 4 | 1 | 0 | 0% | |
| 5 | 1 | 0 | 0% | |
| 6 | 1 | 0 | 0% | |
| 7 | 2 | 0 | 0% | |
| 8 | 2 | 0 | 0% | |
| 9 | 1 | 0 | 0% | |
| 10 | 2 | 0 | 0% | |
| 11 | 1 | 0 | 0% |
Away / Failed To Score
| # | Team | MP | FTS | % |
|---|---|---|---|---|
| 1 | 2 | 2 | 100% | |
| 2 | 2 | 1 | 50% | |
| 3 | 2 | 1 | 50% | |
| 4 | 2 | 0 | 0% | |
| 5 | 1 | 0 | 0% | |
| 6 | 1 | 0 | 0% | |
| 7 | 1 | 0 | 0% | |
| 8 | 2 | 0 | 0% | |
| 9 | 1 | 0 | 0% | |
| 10 | 1 | 0 | 0% | |
| 11 | 2 | 0 | 0% |
Which teams fail to score most often?
Western Sydney Wanderers fails to score most often in the league — 67%
Central Coast Mariners is #2 for failed-to-score rate — 33%
Sydney is #3 for failed-to-score rate — 33%
Auckland rarely fails to score — 0%
Melbourne City rarely fails to score — 0%
Melbourne Victory rarely fails to score — 0%
League Blank Stats
- consists of 10 teams
- League failed-to-score rate: 20%
- Home FTS rate: 20%
- Away FTS rate: 20%
A-League (Australia) — Failed To Score Analysis
In the A-League (Australia), teams fail to score in 40% of matches this season. Western Sydney Wanderers fails to score the most, going blank in 67% of their games (2 matches), with 0% at home and 100% away. Auckland 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 — Australia
- A-League Women Failed To Score— Division Women's Elite
- Australia Cup Failed To Score— Division Gold
- Australian Championship Failed To Score— Division Gold
- Brisbane Premier League Failed To Score— Division Silver
- Capital Territory NPL Failed To Score— Division Silver
- Capital Territory NPL 2 Failed To Score— Division Pro
- NNSW League 1 Failed To Score— Division Women's Pro
- New South Wales NPL Failed To Score— Division Silver
- New South Wales NPL 2 Failed To Score— Division Pro
- Northern NSW NPL Failed To Score— Division Silver
- Northern Territory Premier League Failed To Score— Division Silver
- Npl Nsw U20 Failed To Score— Division Academy
- Queensland NPL Failed To Score— Division Silver
- Queensland Premier League Failed To Score— Division Pro
- South Australia NPL Failed To Score— Division Silver
- South Australia State League 1 Failed To Score— Division Pro
- Tasmania NPL Failed To Score— Division Silver
- Tasmania Northern Championship Failed To Score— Division Pro
- Tasmania Southern Championship Failed To Score— Division Pro
- Victoria NPL Failed To Score— Division Silver
- Victoria NPL 2 Failed To Score— Division Pro
- Victoria Premier League 2 Failed To Score— Division Pro
- Western Australia NPL Failed To Score— Division Silver
- Western Australia State League 1 Failed To Score— Division Pro