Premier League logo
Premier League

Full time result

Home Win

109/322
Home win
Away or draw
34%
66%

Draw

122/322
Draw
Home/away win
38%
62%

Away Win

91/322
Away win
Home or draw
28%
72%

BTTS

BTS

150/322
BTS yes
BTS no
47%
53%

BTS & Win

79/322
Yes
No
25%
75%

Overs

Over 1.5

197/322
Over
Under
61%
39%

Over 2.5

111/322
Over
Under
34%
66%

Over 3.5

50/322
Over
Under
16%
84%

In decline at home

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

Most improved away

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

No teams currently match this trend.

In decline away

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

El Gouna FC logoEl Gouna FC
1st-67th

Day to day

Stat

Overall

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

Sunday

Matches played

322

38

37

45

42

53

56

51

Home Win

34%

32%27%53%26%40%25%33%

Draw

38%

37%41%31%36%30%45%45%

Away Win

28%

32%32%16%38%30%30%22%

BTS

47%

42%57%47%57%34%43%51%

BTS & Win

25%

26%22%27%33%21%16%29%

Over 1.5

61%

55%68%67%64%53%66%57%

Over 2.5

34%

32%27%29%45%32%38%37%

Over 3.5

16%

3%14%16%19%15%14%25%

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

Premier League analysis 

Use this page to test whether the main patterns inside Premier League 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 Premier League 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 322 played fixtures in Premier League across 7 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 Premier League analysis instead of the overview alone?

Premier League 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.