Liga 1 Clean Sheet Stats 2026
Use the overall column first, then check home and away splits before opening team or fixture context.
| Next | ||||
|---|---|---|---|---|
 Alianza Lima | 10/23•43% 1/5•20% | 5/12•45% 1/5•20% | 5/11•42% 1/5•20% | |
 Sport Boys | 10/23•43% 2/5•40% | 7/12•58% 2/5•40% | 3/11•27% 2/5•40% | |
 Deportivo Garcilaso | 9/23•39% 3/5•60% | 4/12•33% 3/5•60% | 5/11•45% 3/5•60% | |
 Atletico Grau | 8/23•35% 2/5•40% | 5/12•45% 2/5•40% | 3/11•25% 2/5•40% | |
 Universitario | 8/23•35% 1/5•20% | 5/12•42% 1/5•20% | 3/11•27% 1/5•20% | |
 Deportivo Moquegua | 7/23•30% 3/5•60% | 4/12•36% 3/5•60% | 3/11•25% 3/5•60% | |
 Los Chankas | 6/23•26% 0/5•0% | 5/12•42% 0/5•0% | 1/11•9% 0/5•0% | |
 FBC Melgar | 6/23•26% 2/5•40% | 4/12•33% 2/5•40% | 2/11•18% 2/5•40% | |
 Alianza Atletico | 6/23•26% 1/5•20% | 5/12•45% 1/5•20% | 1/11•8% 1/5•20% | |
 Asociacion Deportiva Tarma | 6/23•26% 0/5•0% | 4/12•33% 0/5•0% | 2/11•18% 0/5•0% | |
 Comerciantes Unidos | 5/23•22% 0/5•0% | 5/12•45% 0/5•0% | 0/11•0% 0/5•0% | |
 Sport Huancayo | 4/23•17% 2/5•40% | 2/12•18% 2/5•40% | 2/11•17% 2/5•40% | |
 UT Cajamarca | 4/23•17% 1/5•20% | 4/12•36% 1/5•20% | 0/11•0% 1/5•20% | |
 Cienciano | 4/23•17% 2/5•40% | 4/12•33% 2/5•40% | 0/11•0% 2/5•40% | |
 Sporting Cristal | 4/23•17% 1/5•20% | 3/12•27% 1/5•20% | 1/11•8% 1/5•20% | |
 Cusco FC | 4/23•17% 1/5•20% | 4/12•36% 1/5•20% | 0/11•0% 1/5•20% | |
 Juan Pablo II College | 2/23•9% 2/5•40% | 2/12•17% 2/5•40% | 0/11•0% 2/5•40% | |
 FC Cajamarca | 0/23•0% 0/5•0% | 0/12•0% 0/5•0% | 0/11•0% 0/5•0% |
10/23•43%
1/5•20%
All
5/12•45%
1/5•20%
Home
5/11•42%
1/5•20%
Away
10/23•43%
2/5•40%
All
7/12•58%
2/5•40%
Home
3/11•27%
2/5•40%
Away
9/23•39%
3/5•60%
All
4/12•33%
3/5•60%
Home
5/11•45%
3/5•60%
Away
8/23•35%
2/5•40%
All
5/12•45%
2/5•40%
Home
3/11•25%
2/5•40%
Away
8/23•35%
1/5•20%
All
5/12•42%
1/5•20%
Home
3/11•27%
1/5•20%
Away
7/23•30%
3/5•60%
All
4/12•36%
3/5•60%
Home
3/11•25%
3/5•60%
Away
6/23•26%
0/5•0%
All
5/12•42%
0/5•0%
Home
1/11•9%
0/5•0%
Away
6/23•26%
2/5•40%
All
4/12•33%
2/5•40%
Home
2/11•18%
2/5•40%
Away
6/23•26%
1/5•20%
All
5/12•45%
1/5•20%
Home
1/11•8%
1/5•20%
Away
6/23•26%
0/5•0%
All
4/12•33%
0/5•0%
Home
2/11•18%
0/5•0%
Away
5/23•22%
0/5•0%
All
5/12•45%
0/5•0%
Home
0/11•0%
0/5•0%
Away
4/23•17%
2/5•40%
All
2/12•18%
2/5•40%
Home
2/11•17%
2/5•40%
Away
4/23•17%
1/5•20%
All
4/12•36%
1/5•20%
Home
0/11•0%
1/5•20%
Away
4/23•17%
2/5•40%
All
4/12•33%
2/5•40%
Home
0/11•0%
2/5•40%
Away
4/23•17%
1/5•20%
All
3/12•27%
1/5•20%
Home
1/11•8%
1/5•20%
Away
4/23•17%
1/5•20%
All
4/12•36%
1/5•20%
Home
0/11•0%
1/5•20%
Away
2/23•9%
2/5•40%
All
2/12•17%
2/5•40%
Home
0/11•0%
2/5•40%
Away
0/23•0%
0/5•0%
All
0/12•0%
0/5•0%
Home
0/11•0%
0/5•0%
Away
Take this into Matchday
Open Matchday to compare today’s fixtures with this market already in mind.
Market breakdown
Liga 1 Clean Sheet Stats
Use this page to decide whether Liga 1 deserves more attention in your daily research flow, then validate the strongest teams and fixtures before adding any matches to your watchlist.
How to read this table
The table ranks Liga 1 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 Liga 1 is producing the kind of fixtures you want before moving into team detail and nearby match context.
Table guide
What Clean Sheet Stats tells you
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 Liga 1 still support the same pattern. That helps separate a strong league-level signal from a weak team-level one.
Clean Sheet Stats
Methodology and freshness
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.
Data quality
Research next
Move from a market signal to a watchlist you can explain
- Check whether the top and bottom teams in this league still show a clear clean sheet pattern.
- Compare home and away shape so you do not rely on one blended percentage alone.
- Open team and league match pages to confirm whether the recent run still supports the same angle.
- Return to Satdee Calendar and save only the fixtures that still make sense after validation.
FAQ
Questions users usually ask next
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.