Rosario Central’s solid attacking edge, paired with Huracan’s own threat, gives this contest a clear route to goals. Both defenses have resilience, but neither looks equipped to smother the game throughout; sustained pressure should break the stalemate and make a second goal the likeliest outcome.
Match GoalsOver 1.5
Best Pick
Under 2.5
61%
Correct Score
Top
1-0
14.9%
5.00
Top
1-1
12.5%
6.50
0-0
10.6%
7.00
2-0
10.4%
7.00
0-1
8.9%
11.00
2-1
8.8%
9.00
1-2
5.3%
19.00
3-0
4.9%
13.00
150%
1.70TOP
X27%
3.30
223%
5.50
1X77%
X250%
1273%
Combined Bet Builder
4 legs
Rosario Central’s home advantage and league-leading position give them the edge over Huracán, while their stronger attacking outlook points to a match likely to clear the modest goals line. Di María offers a compelling anytime threat, and the sides’ combined corner expectations support a lively contest with plenty of pressure and corners.
1Match WinnerRosario Central
2Match GoalsOver 1.5
3GoalscorersAnytime
4Corners Over/UnderOver 8.5
Confirmed XI4-4-2
23
Ledesma
32
Coronel
46
Ovando
13
Ávila
3
Sández
88
Rodríguez
20
Durcudoy
11
María
8
Campaz
26
Cantizano
22
Copetti
Impact Player Hot Head
Rosario Central40 players
51.6/ 99Average
Top Rated
1Luca RaffinDEF92
2Marco RubénFWD79
3Giovanni CantizanoFWD70
Huracan30 players
49.5/ 99Average
Top Rated
1Eric RamírezFWD82
2Rodrigo Fernández CedrésMID77
3Facundo WallerMID73
Player Rankings
Snipers
Top goal threats
1
Eric RamírezHuracan
99
2
Marco RubénRosario Central
89
3
Agustín MódicaRosario Central
70
4
Jáminton CampazRosario Central
64
5
Giovanni CantizanoRosario Central
62
Wall
Top defenders
1
Luca RaffinRosario Central
99
2
Nehuén PazHuracan
99
3
Hugo NervoHuracan
87
4
Fabio PereyraHuracan
85
5
Facundo MalloRosario Central
79
Control
Top playmakers
1
Tomás O'Connor Rosario Central
77
2
Rodrigo Fernández CedrésHuracan
75
3
Óscar RomeroHuracan
72
4
Leonardo GilHuracan
71
5
Franco IbarraRosario Central
65
Bad Boys
Most likely to get booked
1
Pol Fernández Rosario Central
1
Aggression 36
2
Luciano GiménezHuracan
1
Aggression 77
3
Leonardo Sequeira Huracan
4
Aggression 53
4
Leonel PérezHuracan
8
Aggression 48
5
Alan RodríguezRosario Central
11
Aggression 43
Power Rankings
Strongest overall
1
Luca RaffinRosario Central
92
2
Eric RamírezHuracan
82
3
Marco RubénRosario Central
79
4
Rodrigo Fernández CedrésHuracan
77
5
Facundo WallerHuracan
73
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Rosario Central vs Huracan 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 Rosario Central vs Huracan 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 Rosario Central 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 Rosario Central vs Huracan 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 Rosario Central 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.