Liga 1 logo
Liga 1

Full time result

Home Win

161/333
Home win
Away or draw
48%
52%

Draw

83/333
Draw
Home/away win
25%
75%

Away Win

89/333
Away win
Home or draw
27%
73%

BTTS

BTS

170/333
BTS yes
BTS no
51%
49%

BTS & Win

114/333
Yes
No
34%
66%

Overs

Over 1.5

242/333
Over
Under
73%
27%

Over 2.5

170/333
Over
Under
51%
49%

Over 3.5

86/333
Over
Under
26%
74%

In decline

Current league position to last 5 table position.

Atletico Grau logoAtletico Grau
12th-719th

Most improved away

Current away-table position to last 5 away-table position.

In decline away

Current away-table position to last 5 away-table position.

No teams currently match this trend.

Day to day

Stat

Overall

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

Sunday

Matches played

333

24

14

13

15

49

97

121

Home Win

48%

67%50%31%40%37%52%50%

Draw

25%

8%29%46%27%31%24%24%

Away Win

27%

25%21%23%33%33%25%26%

BTS

51%

50%64%38%40%53%45%56%

BTS & Win

34%

42%36%15%20%37%30%39%

Over 1.5

73%

79%93%77%73%65%65%78%

Over 2.5

51%

58%43%31%53%43%47%59%

Over 3.5

26%

25%14%15%27%20%26%31%

Carry this league view into Matchday

Return to Matchday once you know which league deserves attention, then narrow the final fixture list with the wider daily board.

Analysis breakdown

Liga 1 analysis 

Use this page to test whether the main patterns inside Liga 1 still hold when you move beyond headline table context.

How to use this analysis page

Use this page when you want deeper context on how Liga 1 is behaving. Start with market snapshot, then check biggest movers and day-to-day patterns before trusting one surface-level league signal.

This page is most useful after league overview already tells you competition deserves closer inspection.

Page guide

What this page is showing

This page currently analyses 333 played fixtures in Liga 1 across 18 teams. Use it to understand league movement, not just headline table position.

Current scope

Freshness and methodology

Satdee updates this public league analysis as match data changes. Treat snapshot rates, movers, and day-to-day changes as research context, then validate the strongest ideas on team pages, match lists, and market views.

Data quality

Research next

Move from league context to watchlist you can explain

  1. Start with market snapshot and biggest movers.
  2. Check whether pattern still holds on team pages and match lists.
  3. Use market pages only after league-level signal still looks coherent.
  4. Return to Satdee matchday calendar and keep only fixtures that still make sense.

FAQ

Questions users usually ask next 

Few quick answers about what this league page is showing, how to use it in Satdee flow, where to go next.

Why use Liga 1 analysis instead of the overview alone?

Liga 1 analysis adds market movement and day-to-day behaviour, which is more useful when broad table context is not enough to explain why league looks interesting.

What should I do after finding useful pattern here?

Check team pages, match lists, and relevant market pages, then return to the Satdee matchday calendar if upcoming fixtures still fit the angle you want to follow.