Clean Sheets • League Stats
View A-League (Australia) clean sheet stats for the 2025/26 season, including clean sheet frequency, team-by-team percentages, home and away splits, and current season trends.
Table guide
Use the overall column first, then check home and away splits before opening team or fixture context.
| Next | ||||
|---|---|---|---|---|
 Sydney | 12/30•40% 1/5•20% | 5/15•36% 1/5•20% | 7/15•44% 1/5•20% | No upcoming match |
 Melbourne City | 10/27•37% 1/5•20% | 5/14•38% 1/5•20% | 5/13•36% 1/5•20% | No upcoming match |
 Auckland | 9/30•30% 2/5•40% | 4/15•25% 2/5•40% | 5/15•36% 2/5•40% | No upcoming match |
 Brisbane Roar | 7/26•27% 1/5•20% | 5/13•38% 1/5•20% | 2/13•15% 1/5•20% | No upcoming match |
 Central Coast Mariners | 6/26•23% 1/5•20% | 3/13•23% 1/5•20% | 3/13•23% 1/5•20% | No upcoming match |
 Melbourne Victory | 6/27•22% 1/5•20% | 2/14•14% 1/5•20% | 4/13•31% 1/5•20% | No upcoming match |
 Western Sydney Wanderers | 5/26•19% 0/5•0% | 3/13•23% 0/5•0% | 2/13•15% 0/5•0% | No upcoming match |
 Newcastle Jets | 5/28•18% 1/5•20% | 3/14•21% 1/5•20% | 2/14•14% 1/5•20% | No upcoming match |
 Macarthur | 4/26•15% 1/5•20% | 2/13•15% 1/5•20% | 2/13•15% 1/5•20% | No upcoming match |
 Perth Glory | 4/26•15% 1/5•20% | 2/13•15% 1/5•20% | 2/13•15% 1/5•20% | No upcoming match |
 Wellington Phoenix | 4/26•15% 1/5•20% | 1/13•8% 1/5•20% | 3/13•23% 1/5•20% | No upcoming match |
 Adelaide United | 3/28•11% 0/5•0% | 2/14•14% 0/5•0% | 1/14•7% 0/5•0% | No upcoming match |
Market breakdown
Use this page to decide whether A-League deserves more attention in your daily research flow, then validate the strongest teams and fixtures before adding any matches to your watchlist.
The table ranks A-League teams by clean sheet rate. Start with the overall column, then compare home and away splits before opening a team or fixture page for match-level context.
Use this page to confirm whether A-League is producing the kind of fixtures you want before moving into team detail and nearby match context.
Clean sheet stats highlight teams and leagues where shutouts appear regularly. They are useful when you want stronger defensive context before narrowing down the matches you want to save to your watchlist.
On a league page, the next step is checking whether the highest and lowest teams in A-League still support the same pattern. That helps separate a strong league-level signal from a weak team-level one.
Satdee calculates these rates from the available league match data and updates this public page when match data changes. Treat the numbers as research context, not predictions or guaranteed outcomes.
Use the table as a fast filter, then confirm the signal with team pages, fixture context, and the wider Satdee workflow before you save anything to your watchlist.
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FAQ
A few quick answers about what this market page tells you, how to use it in the Satdee workflow, and which page to open after this one.
A clean sheet stat shows how often a team keeps the opposition from scoring across a season or recent run of matches.