Bundesliga logo

Full time result

Home Win

118/308
Home win
Away or draw
38%
62%

Draw

79/308
Draw
Home/away win
26%
74%

Away Win

111/308
Away win
Home or draw
36%
64%

BTTS

BTS

177/308
BTS yes
BTS no
57%
43%

BTS & Win

120/308
Yes
No
39%
61%

Overs

Over 1.5

249/308
Over
Under
81%
19%

Over 2.5

185/308
Over
Under
60%
40%

Over 3.5

132/308
Over
Under
43%
57%

Most improved at home

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

Werder Bremen logoWerder Bremen
12th+75th
St. Pauli logoSt. Pauli
15th+69th

Day to day

Stat

Overall

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

Sunday

Matches played

308

1

4

5

1

31

191

75

Home Win

38%

0%100%60%0%52%37%32%

Draw

26%

0%0%20%100%23%24%32%

Away Win

36%

100%0%20%0%26%39%36%

BTS

57%

100%75%40%100%61%54%63%

BTS & Win

39%

100%75%20%0%52%36%40%

Over 1.5

81%

100%75%80%100%74%80%85%

Over 2.5

60%

100%75%60%100%68%59%59%

Over 3.5

43%

0%75%40%100%55%39%47%

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

Bundesliga analysis 

Use this page to test whether the main patterns inside Bundesliga 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 Bundesliga 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 308 played fixtures in Bundesliga across 18 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 Bundesliga analysis instead of the overview alone?

Bundesliga 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.