Liga Portugal
Portugal
Statistics based on 5 recent seasons
Home Win
41.4
%
Home advantage
Draw
24.4%
Stalemates
Away Win
34.2
%
Against the odds
Over 2.5
49.0
%
High-scoring
Goals Per Match
2.6
Attacking patterns
BTTS
48.8%
Both teams score
Clean Sheets
6.9
%
Shut outs
Scoring Minutes
0-15'
12%
15-30'
14.1%
30-45'
19.1%
45-60'
15.7%
60-75'
15.2%
75-90'
24%
Cards
5.4
+0.2 red
Predictability
52.7%
Pattern confidence
Blanks
6.9
%
Failed to score
Corners
9.4
Per match
Live Standings
Current league table
| POS | TEAM | P | W | D | L | GF | GA | GD | PTS |
|---|---|---|---|---|---|---|---|---|---|
|
1
|
POR
Porto
|
19 | 18 | 1 | 0 | 40 | 4 | +36 | 55 |
|
2
|
SCP
Sporting CP
|
19 | 15 | 3 | 1 | 52 | 10 | +42 | 48 |
|
3
|
SLB
Benfica
|
19 | 13 | 6 | 0 | 42 | 11 | +31 | 45 |
|
4
|
SBR
Sporting Braga
|
19 | 9 | 6 | 4 | 37 | 18 | +19 | 33 |
|
5
|
Gil Vicente
Gil Vicente
|
19 | 8 | 7 | 4 | 24 | 16 | +8 | 31 |
|
6
|
MOE
Moreirense
|
20 | 9 | 3 | 8 | 26 | 27 | -1 | 30 |
|
7
|
Famalicão
Famalicão
|
19 | 8 | 5 | 6 | 24 | 14 | +10 | 29 |
|
8
|
ETR
Estoril
|
20 | 8 | 5 | 7 | 41 | 33 | +8 | 29 |
|
9
|
VDG
Vitória Guimarães
|
20 | 8 | 4 | 8 | 21 | 27 | -6 | 28 |
|
10
|
Alverca
Alverca
|
20 | 7 | 3 | 10 | 20 | 34 | -14 | 24 |
|
11
|
Nacional
Nacional
|
19 | 5 | 5 | 9 | 26 | 28 | -2 | 20 |
|
12
|
Estrela Amadora
Estrela Amadora
|
20 | 4 | 8 | 8 | 24 | 37 | -13 | 20 |
|
13
|
RIO
Rio Ave
|
20 | 4 | 8 | 8 | 22 | 38 | -16 | 20 |
|
14
|
Arouca
Arouca
|
20 | 5 | 5 | 10 | 23 | 44 | -21 | 20 |
|
15
|
Santa Clara
Santa Clara
|
20 | 4 | 5 | 11 | 16 | 25 | -9 | 17 |
|
16
|
Casa Pia
Casa Pia
|
19 | 3 | 6 | 10 | 20 | 38 | -18 | 15 |
|
17
|
TND
Tondela
|
19 | 3 | 3 | 13 | 12 | 33 | -21 | 12 |
|
18
|
AVS
AVS
|
19 | 0 | 5 | 14 | 14 | 47 | -33 | 5 |
UEFA Champions League
UEFA Champions League Qualifiers
UEFA Europa League
UEFA Conference League Qualifiers
Relegation Play-off
Relegation
These statistics provide context for betting decisions in Liga Portugal. Predictability scores measure how reliably outcomes can be forecast, while historical percentages reveal league-specific tendencies.
All percentages are calculated from recent completed seasons. Averages may shift as new data becomes available.