Liga PortugalSeason 2026-27

Forecasts for the Portuguese football league

Matchday 5 · Updated September 6, 2026

Probability of winning the title
Sporting CP
55%
View scenarios
Porto
22%
2
View scenarios
Benfica
22%
2
View scenarios

Predicted standings

Predicted standings based on 50,000 simulations. Mean points and probabilities for each outcome.

#TeamPtsPredicted ptsChampionRelegation
1
SCP
1380.2
70–90
55%
2
POR
1575.9
65–86
22%2
3
SLB
1075.5
65–86
22%2
4
BRA
762.4
51–74
<1%
5
STC
1147.5
37–59
<1%1
6
ARO
945.3
34–57
1%
7
GIL
744.6
33–56
1%1
8
VSC
444.4
33–56
1%
9
FAM
342.4
31–54
3%
10
EST
138.0
27–50
12%
11
MOR
438.0
27–50
12%
12
MAR
737.6
26–49
14%1
13
NAC
437.3
26–49
13%
14
ALV
237.2
26–49
14%2
15
ACV
536.7
25–49
17%9
16
EAM
636.5
26–48
16%
17
RIO
334.5
24–46
26%5
18
CPA
128.6
18–39
62%1
90% of simulationshalf of simulationsmedian

Final points are a distribution, not a number: the bar shows where the 50k simulated seasons fall. These intervals were verified as calibrated over 8 historical seasons — an interval quoted as 90% contained the real outcome 92.7% of the time.

Luck or merit?

Expected points (xPts) computed from each match's expected goals (xG). The difference to actual points measures finishing efficiency and luck.

UnderperformingOverperforming
ARO
+3.9
9 real pts
5.1 expected
POR
+3.8
15 real pts
11.2 expected
MOR
+2.1
4 real pts
1.9 expected
SCP
+1.7
13 real pts
11.3 expected
STC
+1.4
11 real pts
9.6 expected
EAM
+1.4
6 real pts
4.6 expected
MAR
+0.9
7 real pts
6.1 expected
BRA
+0.9
7 real pts
6.1 expected
ACV
+0.8
5 real pts
4.2 expected
SLB
10 real pts
10.0 expected
RIO
3 real pts
3.1 expected
NAC
4 real pts
4.3 expected
GIL
-1.0
7 real pts
8.0 expected
ALV
-2.4
2 real pts
4.4 expected
EST
-2.5
1 real pts
3.5 expected
CPA
-2.7
1 real pts
3.7 expected
FAM
-3.6
3 real pts
6.6 expected
VSC
-6.1
4 real pts
10.1 expected

xG data: FotMob

Title race

Championship probability evolution throughout the season.

Relegation battle

Relegation probability evolution throughout the season.

Team strengths

Attack and defense parameters estimated by the Bayesian model.

Defense
Attack
SCP
POR
SLB
BRA
FAM
VSC
STC
GIL
EST
ARO
ALV
NAC
MOR
MAR
ACV
RIO
EAM
CPA