Eliteserien logo
Eliteserien

Full time result

Home Win

69/136
Home win
Away or draw
51%
49%

Draw

26/136
Draw
Home/away win
19%
81%

Away Win

41/136
Away win
Home or draw
30%
70%

BTTS

BTS

76/136
BTS yes
BTS no
56%
44%

BTS & Win

54/136
Yes
No
40%
60%

Overs

Over 1.5

115/136
Over
Under
85%
15%

Over 2.5

82/136
Over
Under
60%
40%

Over 3.5

44/136
Over
Under
32%
68%

Most improved

Current league position to last 5 table position.

No teams currently match this trend.

In decline at home

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

No teams currently match this trend.

Most improved away

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

Aalesund logoAalesund
13th+67th

Day to day

Stat

Overall

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

Sunday

Matches played

136

14

2

8

2

13

39

58

Home Win

51%

43%0%25%100%54%59%50%

Draw

19%

21%0%25%0%23%15%21%

Away Win

30%

36%100%50%0%23%26%29%

BTS

56%

36%100%63%50%46%64%55%

BTS & Win

40%

14%100%50%50%31%54%34%

Over 1.5

85%

79%100%88%100%69%87%86%

Over 2.5

60%

29%100%75%100%69%72%53%

Over 3.5

32%

14%50%25%100%31%33%34%

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

Eliteserien analysis 

Use this page to test whether the main patterns inside Eliteserien 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 Eliteserien 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 136 played fixtures in Eliteserien 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 Eliteserien analysis instead of the overview alone?

Eliteserien 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.