· Primeira Liga
Benfica
ATT
8/10
DEF
6/10
vs
FC Alverca
5/10
ATT
4/10
DEF
Planlandı· Mon 2 Nov · 20:15

AI Maç Analizi

Benfica’s commanding attacking profile and expected territorial pressure point toward a lively afternoon, with Alverca’s vulnerable defensive shape offering openings. The visitors may contribute little, but sustained home pressure should carry the contest beyond the low-scoring threshold.

Match GoalsOver 2.5
En iyi tahmin
Ev sahibi kazanır
70%
Doğru skor
Mükemmel
2-0
12.4%
7.00
Mükemmel
1-0
11.2%
9.50
2-1
9.6%
10.00
3-0
9.2%
7.50
1-1
8.6%
15.00
3-1
7.1%
11.00
4-0
5.1%
10.00
0-0
5.1%
23.00
170%
1.17TOP
X18%
7.50
212%
13.00
1X88%
X230%
1282%

Kombine

3 seçim

Benfica’s fierce attack should keep Alverca pinned back and the corners piling up, but their leaky defence leaves the visitors a route to strike. With Benfica creating chance after chance and both sides capable of finding the net, a lively, high-scoring contest looks the likely script—both teams to score, goals over the line and corners to follow.

1Both Teams to ScoreYes
2Match GoalsOver 3.5
3Corners Over/UnderOver 8.5
Confirmed XI4-5-1
24
Soares
6
Bah
44
Araújo
2
Lenglet
26
Dahl
8
Aursnes
36
Palhinha
27
Silva
10
Sudakov
25
Prestianni
14
Pavlidis
Impact Player Hot Head
Benfica30 oyuncu
55.0/ 99Orta
En İyiler
1Manu Silva MID91
2Franjo IvanovićFWD88
3AnísioFWD86
FC Alverca28 oyuncu
49.1/ 99Orta
En İyiler
1Zé RafaelMID72
2Matheus França FWD72
3Vasco MoreiraMID67
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
1
AnísioBenfica
99
2
Jhon Durán Benfica
95
3
Franjo IvanovićBenfica
85
4
Vangelis PavlidisBenfica
82
5
Dodi LukébakioBenfica
74
Duvar
En iyi savunmacılar
1
Yaya BojangFC Alverca
68
2
Sergi Gómez SolàFC Alverca
61
3
Alessandro CircatiBenfica
54
4
José NetoBenfica
51
5
Steven BaseyaFC Alverca
51
Kontrol
En iyi oyun kurucular
1
Manu Silva Benfica
87
2
Fredrik AursnesBenfica
81
3
Zé RafaelFC Alverca
74
4
Enzo BarrenecheaBenfica
69
5
João PalhinhaBenfica
69
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Gianluca PrestianniBenfica
1
2
Jhon Durán Benfica
1
3
Yaya BojangFC Alverca
1
4
Nabil TouaiziFC Alverca
1
5
Tomás AraújoBenfica
7
Güç sıralaması
Genel olarak en güçlüler
1
Manu Silva Benfica
91
2
Franjo IvanovićBenfica
88
3
AnísioBenfica
86
4
João RegoBenfica
74
5
Bruma Benfica
73

Sıkça Sorulan Sorular

Our Poisson model calculates the probability of every possible scoreline for Benfica vs FC Alverca 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 Benfica vs FC Alverca 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 Benfica 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 Benfica vs FC Alverca 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 Benfica 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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