Super League logo
Super League

Full time result

Home Win

94/207
Home win
Away or draw
45%
55%

Draw

56/207
Draw
Home/away win
27%
73%

Away Win

57/207
Away win
Home or draw
28%
72%

BTTS

BTS

132/207
BTS yes
BTS no
64%
36%

BTS & Win

86/207
Yes
No
42%
58%

Overs

Over 1.5

165/207
Over
Under
80%
20%

Over 2.5

119/207
Over
Under
57%
43%

Over 3.5

77/207
Over
Under
37%
63%

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.

No teams currently match this trend.

Day to day

Stat

Overall

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

Sunday

Matches played

207

0

15

12

0

38

92

50

Home Win

45%

0%27%33%0%45%53%40%

Draw

27%

0%27%42%0%32%25%24%

Away Win

28%

0%47%25%0%24%22%36%

BTS

64%

0%67%58%0%66%60%70%

BTS & Win

42%

0%40%33%0%42%38%50%

Over 1.5

80%

0%80%75%0%79%78%84%

Over 2.5

57%

0%47%50%0%61%55%64%

Over 3.5

37%

0%13%25%0%50%34%44%

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

Super League analysis 

Use this page to test whether the main patterns inside Super 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 Super 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 207 played fixtures in Super League across 16 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 Super League analysis instead of the overview alone?

Super 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.