National League logo

Full time result

Home Win

234/557
Home win
Away or draw
42%
58%

Draw

160/557
Draw
Home/away win
29%
71%

Away Win

163/557
Away win
Home or draw
29%
71%

BTTS

BTS

301/557
BTS yes
BTS no
54%
46%

BTS & Win

178/557
Yes
No
32%
68%

Overs

Over 1.5

421/557
Over
Under
76%
24%

Over 2.5

281/557
Over
Under
50%
50%

Over 3.5

161/557
Over
Under
29%
71%

In decline at home

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

Gateshead logoGateshead
9th-1322nd
Eastleigh logoEastleigh
10th-1121st

In decline away

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

Oldham logoOldham
4th-1822nd
Forest Green logoForest Green
5th-1217th

Day to day

Stat

Overall

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

Sunday

Matches played

557

36

122

25

12

14

347

1

Home Win

42%

42%45%36%25%21%43%0%

Draw

29%

36%25%36%50%50%27%100%

Away Win

29%

22%30%28%25%29%30%0%

BTS

54%

50%50%60%75%64%54%100%

BTS & Win

32%

25%34%32%33%29%32%0%

Over 1.5

76%

78%72%72%83%71%77%100%

Over 2.5

50%

44%53%44%75%36%50%0%

Over 3.5

29%

25%25%16%75%14%31%0%

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

National League analysis 

Use this page to test whether the main patterns inside National 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 National 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 557 played fixtures in National League across 24 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 National League analysis instead of the overview alone?

National 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.