Benfica’s home initiative should force an open contest, while Austria Wien’s need to respond creates space for chances at both ends. Though neither attack is prolific, rising urgency and sustained pressure make further goals the likeliest storyline.
Match GoalsOver 2.5
Best Pick
BTTS
65%
Correct Score
Top
1-1
9.8%
8.50
Top
2-1
9%
8.50
1-2
7.4%
17.00
2-2
6.8%
15.00
1-0
6.5%
8.50
2-0
5.9%
8.50
3-1
5.5%
12.00
0-1
5.3%
17.00
145%
1.53TOP
X23%
4.33
232%
5.50
1X68%
X255%
1277%
Combined Bet Builder
4 legs
Benfica’s home initiative gives them the edge, while Austria Wien’s limited attacking threat leaves the hosts poised to control the contest. Their combined chance and corner profiles point to an open, busy night: over the goal line and a steady stream of corners look plausible, with Dorsin a credible anytime threat as Benfica press for the decisive breakthrough.
1Match WinnerSL Benfica W
2Match GoalsOver 2.5
3GoalscorersAnytime
4Corners Over/UnderOver 8.5
Probable XI3-5-2
1
Pauels
4
Demehin
19
Amado
27
Costa
14
Csiki
8
Norton
Schafer
23
Tristão
10
Hansen
11
Borges
25
Davidson
Impact Player Hot Head Shooter
Diana Filipa Gomes Costa — always sniffing around the box — the kind of player who just ends up on the scoresheet
Froya Brennskag-Dorsin — the go-to finisher in this side, and he loves these nights
Ziqin Shao — lives for the goal, and when he smells a chance he rarely hesitates
Lineups not yet announced — full squad analysis below
SL Benfica W21 players
62.1/ 99Strong
Top Rated
1Catarina Isabel Silva AmadoDEF93
2Diana Catarina Ribeiro GomesDEF75
3Marit Bratberg LundDEF73
Austria Wien W19 players
45.9/ 99Average
Top Rated
1Elisa PfattnerMID64
2Modesta UkaFWD64
3Nina-Katrin PichlerMID60
SL Benfica W34
PlayerOverall RatingImpactAggressionDiscipline
19
Catarina Isabel Silva Amado93979967
22
Diana Catarina Ribeiro Gomes75994350
5
Marit Bratberg Lund73608767
21
Pauleta71649956
1
Lena Pauels67719950
8
Andreia Alexandra Norton66519867
23
Carolina Ribeiro Tristão66539161
Leticia Almeida66587161
9
Nycole Raysla Silva Sobrinho63596561
Cristina Martín-Prieto Gutiérrez62566367
Beatriz Cameirão61425978
25
Chandra Davidson61556467
7
Froya Brennskag-Dorsin57456078
Austria Wien W36
PlayerOverall RatingImpactAggressionDiscipline
7
Elisa Pfattner64494983
22
Modesta Uka64527389
28
Nina-Katrin Pichler60459950
8
K. Schiechtl59356078
14
Sandra Gabrielle Leegaard Jakobsen53584550
1
Jasmin Pal51519953
15
Patricia Pfanner51475656
23
Carina Wenninger48424856
26
Anna Schorn46464550
2
Louise Christine Ingeborg Schöffel45454550
24
Yvonne Weilharter45454550
4
Chiara Pucci41393950
18
V. Hanshaw41393950
Pre-Match Predictions· Lineups not yet announced
Top Goalscorers
Attackers with highest impact
1
9
Nycole Raysla Silva Sobrinho
SL Benfica W
Impact
59
2.52
2
25
Chandra Davidson
SL Benfica W
Impact
55
2.59
3
26
Ziqin Shao
SL Benfica W
Impact
53
2.20
4
22
Modesta Uka
Austria Wien W
Impact
52
3.36
5
18
Flourish Sabastine
SL Benfica W
Impact
48
3.23
6
15
Patricia Pfanner
Austria Wien W
Impact
47
5.00
Player Rankings
Snipers
Top goal threats
1
Nycole Raysla Silva SobrinhoSL Benfica W
59
2
Cristina Martín-Prieto GutiérrezSL Benfica W
56
3
Chandra DavidsonSL Benfica W
55
4
Ziqin ShaoSL Benfica W
53
5
Modesta UkaAustria Wien W
52
Wall
Top defenders
1
Diana Catarina Ribeiro GomesSL Benfica W
99
2
Catarina Isabel Silva AmadoSL Benfica W
97
3
Blessing DemehinSL Benfica W
63
4
Marit Bratberg LundSL Benfica W
60
5
Tinkara TestenSL Benfica W
59
Control
Top playmakers
1
Caroline-Sophie Møller HansenSL Benfica W
64
2
PauletaSL Benfica W
64
3
Leticia AlmeidaSL Benfica W
58
4
Sandra Gabrielle Leegaard JakobsenAustria Wien W
58
5
Carolina Ribeiro TristãoSL Benfica W
53
Bad Boys
Most likely to get booked
1
Tatjana WeissAustria Wien W
15
Aggression 54
2
Almedina ŠišićAustria Wien W
15
Aggression 99
3
Lotta CordesAustria Wien W
25
Aggression 42
4
V. KirchbergerAustria Wien W
26
Aggression 44
5
Caroline-Sophie Møller HansenSL Benfica W
30
Aggression 38
Power Rankings
Strongest overall
1
Catarina Isabel Silva AmadoSL Benfica W
93
2
Diana Catarina Ribeiro GomesSL Benfica W
75
3
Marit Bratberg LundSL Benfica W
73
4
PauletaSL Benfica W
71
5
Lena PauelsSL Benfica W
67
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for SL Benfica W vs Austria Wien W 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 SL Benfica W vs Austria Wien W 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 SL Benfica W 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 SL Benfica W vs Austria Wien W 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 SL Benfica W 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.