· Liga Portugal 2
Farense
ATT
5/10
DEF
5/10
vs
Benfica U21
4/10
ATT
6/10
DEF
Scheduled· Sun 8 Nov · 14:00

AI Match Analysis

Farense’s home initiative and Benfica U21’s attacking response should create a lively contest, with both sides capable of contributing. Despite sturdy defenses and muted attack profiles, sustained pressure and repeated set-piece threats make goals beyond two the likely outcome.

Match GoalsOver 2.5
Best Pick
Under 2.5
58%
Correct Score
Top
1-1
12.8%
7.00
Top
1-0
12.8%
8.00
0-0
9.3%
12.00
0-1
9.2%
15.00
2-0
8.9%
9.00
2-1
8.8%
8.50
1-2
6.4%
15.00
0-2
4.6%
26.00
146%
1.70TOP
X27%
3.50
227%
4.50
1X73%
X254%
1273%
Probable XI4-4-2
Araújo
78
Pinto
36
Marques
43
Miranda
6
Poloni
29
Falcão
Almeida
15
Nduquidi
27
Mattheus
17
Candeias
Sangaré
Impact Player Hot Head
Lineups not yet announced — full squad analysis below
Farense31 players
52.0/ 99Average
Top Rated
1Rui CostaFWD96
2Diego Fernando DorregarayFWD93
3Balla SangaréFWD83
Benfica U2133 players
41.4/ 99Average
Top Rated
1Joshua WynderDEF86
2Felipe de Almeida LimaFWD73
3BernardesFWD70
Farense42
PlayerOverall RatingImpactAggressionDiscipline
Rui Costa96966491
Diego Fernando Dorregaray93999957
Balla Sangaré83859956
88
Rafael Teixeira76629986
27
Mattheus71872472
43
Dário Miranda69499984
10
Sarpreet Singh67638153
8
Miguel Menino62606057
22
Toni Herrero61424591
19
Leonardo de Oliveira61487383
Brian Araújo60628954
5
Rodrigo58683061
Geovanny Almeida57378761
Benfica U2139
PlayerOverall RatingImpactAggressionDiscipline
Joshua Wynder86789889
56
Felipe de Almeida Lima73814356
54
Bernardes70657367
55
João Fonseca64634176
João Veloso60457563
Eduardo Nunes Fernandes60598546
71
Federico Coletta55377361
50
Diogo José de Nazaré e Jesus Ferreira5253950
75
Leandro Martins49395756
78
Duarte Soares45513050
Kevin Pinto45463656
Henrique Araújo45422967
Jelani Trevisan Dumas45553726
Player Rankings
Snipers
Top goal threats
1
Diego Fernando DorregarayFarense
99
2
Rui CostaFarense
96
3
Balla SangaréFarense
85
4
Felipe de Almeida LimaBenfica U21
81
5
BernardesBenfica U21
65
Wall
Top defenders
1
Joshua WynderBenfica U21
78
2
RodrigoFarense
68
3
João FonsecaBenfica U21
63
4
Gonçalo SilvaFarense
51
5
Duarte SoaresBenfica U21
51
Control
Top playmakers
1
MattheusFarense
87
2
Sarpreet SinghFarense
63
3
Rafael TeixeiraFarense
62
4
Miguel MeninoFarense
60
5
Tiago FreitasBenfica U21
49
Bad Boys
Most likely to get booked
1
Alex PintoFarense
1
2
AnísioBenfica U21
1
3
Peter EdokpolorBenfica U21
1
4
Miguel FigueiredoBenfica U21
3
5
Joseph NduquidiFarense
10
Power Rankings
Strongest overall
1
Rui CostaFarense
96
2
Diego Fernando DorregarayFarense
93
3
Joshua WynderBenfica U21
86
4
Balla SangaréFarense
83
5
Rafael TeixeiraFarense
76

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Farense vs Benfica U21 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 Farense vs Benfica U21 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 Farense 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 Farense vs Benfica U21 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 Farense 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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