Serie B logo

Full time result

Home Win

159/389
Home win
Away or draw
41%
59%

Draw

130/389
Draw
Home/away win
33%
67%

Away Win

100/389
Away win
Home or draw
26%
74%

BTTS

BTS

209/389
BTS yes
BTS no
54%
46%

BTS & Win

120/389
Yes
No
31%
69%

Overs

Over 1.5

277/389
Over
Under
71%
29%

Over 2.5

178/389
Over
Under
46%
54%

Over 3.5

94/389
Over
Under
24%
76%

In decline at home

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

Cesena logoCesena
6th-1218th
Sassuolo logoSassuolo
1st-1112th

Most improved away

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

No teams currently match this trend.

In decline away

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

Spezia logoSpezia
4th-1014th
Cittadella logoCittadella
5th-813th

Day to day

Stat

Overall

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

Sunday

Matches played

389

3

23

9

21

44

146

143

Home Win

41%

67%26%33%48%36%43%41%

Draw

33%

0%52%56%29%27%30%36%

Away Win

26%

33%22%11%24%36%27%23%

BTS

54%

100%52%22%43%64%50%57%

BTS & Win

31%

100%17%11%24%45%29%31%

Over 1.5

71%

100%65%44%67%75%67%77%

Over 2.5

46%

100%26%11%33%55%47%48%

Over 3.5

24%

67%17%0%14%20%25%28%

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

Serie B analysis 

Use this page to test whether the main patterns inside Serie B 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 Serie B 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 389 played fixtures in Serie B 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 Serie B analysis instead of the overview alone?

Serie B 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.