Serie A logo

Full time result

Home Win

148/380
Home win
Away or draw
39%
61%

Draw

99/380
Draw
Home/away win
26%
74%

Away Win

133/380
Away win
Home or draw
35%
65%

BTTS

BTS

172/380
BTS yes
BTS no
45%
55%

BTS & Win

109/380
Yes
No
29%
71%

Overs

Over 1.5

266/380
Over
Under
70%
30%

Over 2.5

174/380
Over
Under
46%
54%

Over 3.5

84/380
Over
Under
22%
78%

Most improved

Current league position to last 5 table position.

Lecce logoLecce
17th+134th
Cagliari logoCagliari
14th+95th

In decline

Current league position to last 5 table position.

AC Milan logoAC Milan
5th-1217th
Atalanta logoAtalanta
7th-714th

Most improved at home

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

Torino logoTorino
10th+73rd

In decline at home

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

AC Milan logoAC Milan
7th-1118th
Atalanta logoAtalanta
6th-814th

Most improved away

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

Fiorentina logoFiorentina
12th+66th

In decline away

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

AC Milan logoAC Milan
2nd-1012th
Parma logoParma
11th-718th

Day to day

Stat

Overall

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

Sunday

Matches played

380

44

6

14

6

27

116

167

Home Win

39%

45%0%36%0%52%37%40%

Draw

26%

20%17%36%50%19%32%23%

Away Win

35%

34%83%29%50%30%31%37%

BTS

45%

48%17%50%83%52%46%43%

BTS & Win

29%

34%0%29%50%37%26%28%

Over 1.5

70%

75%83%79%83%78%67%68%

Over 2.5

46%

57%50%50%67%56%40%44%

Over 3.5

22%

32%0%29%50%22%21%20%

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 A analysis 

Use this page to test whether the main patterns inside Serie A 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 A 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 380 played fixtures in Serie A 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 A analysis instead of the overview alone?

Serie A 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.