Today
2. Bundesliga logo

Full time result

Home Win

140/308
Home win
Away or draw
45%
55%

Draw

72/308
Draw
Home/away win
23%
77%

Away Win

96/308
Away win
Home or draw
31%
69%

BTTS

BTS

183/308
BTS yes
BTS no
59%
41%

BTS & Win

124/308
Yes
No
40%
60%

Overs

Over 1.5

255/308
Over
Under
83%
17%

Over 2.5

188/308
Over
Under
61%
39%

Over 3.5

114/308
Over
Under
37%
63%

In decline

Current league position to last 5 table position.

No teams currently match this trend.

Most improved at home

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

No teams currently match this trend.

In decline away

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

Hertha Berlin logoHertha Berlin
9th-817th

Day to day

Stat

Overall

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

Sunday

Matches played

308

0

2

0

0

64

132

110

Home Win

45%

0%0%0%0%45%43%49%

Draw

23%

0%0%0%0%28%26%18%

Away Win

31%

0%100%0%0%27%31%33%

BTS

59%

0%50%0%0%69%59%55%

BTS & Win

40%

0%50%0%0%44%37%42%

Over 1.5

83%

0%100%0%0%86%86%77%

Over 2.5

61%

0%100%0%0%66%61%58%

Over 3.5

37%

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

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

2. Bundesliga analysis 

Use this page to test whether the main patterns inside 2. 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 2. 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 2. 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 2. Bundesliga analysis instead of the overview alone?

2. 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.