· Liga Portugal 2
Feirense
ATT
3/10
DEF
6/10
vs
Lusitania FC
7/10
ATT
5/10
DEF
Scheduled· Sun 8 Nov · 11:00
Best Pick
Under 2.5
63%
Correct Score
Top
0-1
14.2%
7.50
Top
1-1
13.1%
6.00
0-0
11.4%
8.50
1-0
10.5%
8.00
0-2
8.9%
12.00
1-2
8.2%
10.00
2-1
6%
11.00
2-0
4.8%
13.00
127%
2.80
X29%
3.10
244%
2.45TOP
1X56%
X273%
1271%
Probable XI4-4-2
26
Altube
16
Lopes
4
Leal
Silva
15
Moreno
6
Mendes
77
Alves
8
Santos
67
Valença
Olamilekan
80
Moraes
Impact Player Hot Head
Lineups not yet announced — full squad analysis below
Feirense30 players
38.5/ 99Developing
Top Rated
1Luís SantosFWD65
2Luiz GustavoDEF62
3Francisco MeixedoGK56
Lusitania FC28 players
54.9/ 99Average
Top Rated
1Dylan CollardDEF94
2Francisco CanárioFWD85
3Miguel TeixeiraMID82
Feirense37
PlayerOverall RatingImpactAggressionDiscipline
Luís Santos65569972
2
Luiz Gustavo62368481
1
Francisco Meixedo5658950
11
Desmond Nketia56437869
7
Arthur Rodrigues Viana51514556
67
Isaac Valença50434561
Edgar Ié48444756
Jonny Arriba47349956
4
Antonio Leal42543534
24
Lamine Mohamed Diaby42413750
27
Tiago Castro42541250
6
Diogo Mendes 41393950
8
Guilherme Santos41393950
Lusitania FC31
PlayerOverall RatingImpactAggressionDiscipline
4
Dylan Collard94984989
Francisco Canário85829889
88
Miguel Teixeira82747382
Josué Humberto Gonçalves Leal de Sá73654390
27
Fabinho69744469
7
Micael Filipe Correia Borges67716450
60
Daniel64506667
52
Francisco Machado61436173
42
Guilherme Soares61695250
16
Luís Rocha61429255
29
Brian Araújo60628954
32
Vitor Hugo56559959
17
João Santos56733520
Player Rankings
Snipers
Top goal threats
1
Francisco CanárioLusitania FC
82
2
João SantosLusitania FC
73
3
Micael Filipe Correia BorgesLusitania FC
71
4
PaulitéLusitania FC
66
5
Luís SantosFeirense
56
Wall
Top defenders
1
Dylan CollardLusitania FC
98
2
Guilherme SoaresLusitania FC
69
3
Josué Humberto Gonçalves Leal de SáLusitania FC
65
4
Antonio LealFeirense
54
5
DanielLusitania FC
50
Control
Top playmakers
1
FabinhoLusitania FC
74
2
Miguel TeixeiraLusitania FC
74
3
Tiago CastroFeirense
54
4
Diogo PauloLusitania FC
49
5
Guilherme Meira Ferreira AlvesFeirense
46
Bad Boys
Most likely to get booked
1
João OliveiraFeirense
1
2
PedrinhoFeirense
4
3
Moises TablanteLusitania FC
9
4
PaulitéLusitania FC
9
5
André LopesFeirense
13
Power Rankings
Strongest overall
1
Dylan CollardLusitania FC
94
2
Francisco CanárioLusitania FC
85
3
Miguel TeixeiraLusitania FC
82
4
Josué Humberto Gonçalves Leal de SáLusitania FC
73
5
FabinhoLusitania FC
69

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Feirense vs Lusitania FC based on each team's expected goals (xG). The top-3 most likely scorelines are shown above with their probability percentages. Even the highest-probability score rarely exceeds 12-15% chance, as football is a low-scoring sport.

The Bet Builder combines multiple selections from the Feirense vs Lusitania FC match into one bet. Our AI identifies outcomes that complement each other — for example, a home win paired with over 2.5 goals and both teams to score. All selections must win for the combined bet to pay out, which means higher combined odds but also higher risk.

xG (expected goals) measures the quality of scoring chances. If Feirense has an xG of 1.8, it means they are expected to score around 1-2 goals based on chance quality. The model uses pre-match xG to build a probability table for all possible scorelines. A team can overperform xG (score more than expected) or underperform xG (score fewer).

Yes, all predictions on ProSoccer are completely free. You can view predicted scorelines, over/under probabilities, and bet builder suggestions for Feirense vs Lusitania FC without paying or registering. Odds values are revealed after a tap to keep the page compliant with search engine guidelines.

A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives Feirense a 55% chance of winning but the odds imply only 40%, that is a value bet. Our AI highlights selections where the model probability exceeds the implied probability from the odds.

AI predictions use statistical modeling (Poisson distribution) based on historical data and pre-match metrics. They are more reliable over large samples than for any single match. No prediction is guaranteed — football has inherent unpredictability. Our model typically identifies the correct top-3 scorelines in 25-30% of matches, which is significantly better than random chance.

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