Today
NPFL logo
NPFL

Full time result

Home Win

244/380
Home win
Away or draw
64%
36%

Draw

94/380
Draw
Home/away win
25%
75%

Away Win

42/380
Away win
Home or draw
11%
89%

BTTS

BTS

148/380
BTS yes
BTS no
39%
61%

BTS & Win

92/380
Yes
No
24%
76%

Overs

Over 1.5

229/380
Over
Under
60%
40%

Over 2.5

127/380
Over
Under
33%
67%

Over 3.5

46/380
Over
Under
12%
88%

Day to day

Stat

Overall

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

Sunday

Matches played

380

20

2

62

20

7

58

211

Home Win

64%

55%0%65%70%100%64%64%

Draw

25%

35%100%29%25%0%16%25%

Away Win

11%

10%0%6%5%0%21%11%

BTS

39%

30%0%42%40%0%36%41%

BTS & Win

24%

10%0%23%20%0%29%26%

Over 1.5

60%

55%0%65%75%29%45%64%

Over 2.5

33%

20%0%35%40%14%34%34%

Over 3.5

12%

10%0%16%20%0%14%10%

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.

Open Matchday

Analysis breakdown

NPFL analysis 

Use this page to test whether the main patterns inside NPFL 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 NPFL 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 380 played fixtures in NPFL across 20 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 NPFL analysis instead of the overview alone?

NPFL 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.