· Primera Nacional
Agropecuario
ATT
4/10
DEF
5/10
vs
Almagro
5/10
ATT
4/10
DEF
Scheduled· Sat 31 Oct · 18:00
Best Pick
Under 2.5
71%
Correct Score
Top
1-0
17.4%
6.50
Top
0-0
15.2%
9.00
1-1
12.9%
7.00
0-1
11.3%
12.00
2-0
9.9%
7.50
2-1
7.4%
8.50
1-2
4.8%
17.00
0-2
4.2%
26.00
145%
1.61TOP
X31%
3.40
224%
5.50
1X76%
X255%
1269%

Combined Bet Builder

2 legs

Agropecuario’s home advantage and steadier defensive profile give them the platform to take control, while Almagro’s leaky back line offers a clear route to a more open contest. Though both attacks have looked limited, the hosts should create the better chances and press that vulnerability, making an Agropecuario win with goals flowing a compelling read.

1Match WinnerAgropecuario
2Match GoalsOver 2.5
Probable XI4-4-2
Medina
Aguirre
Perez
Actis
Aguirre
Napolitano
Aranda
Rojas
Lemos
Gagliardi
Blando
Impact Player Hot Head
Lineups not yet announced — full squad analysis below
Agropecuario28 players
52.3/ 99Average
Top Rated
1Milton RamosMID81
2Jorge ValdezMID77
3Danilo José Ruíz DíazMID72
Almagro43 players
53.3/ 99Average
Top Rated
1S. ChamorroDEF81
2Facundo De La Vega FWD81
3Ulises YegrosDEF80
Agropecuario34
PlayerOverall RatingImpactAggressionDiscipline
Milton Ramos81784789
Jorge Valdez77687674
Danilo José Ruíz Díaz72629968
Antonio Napolitano69659944
Enzo Feliciano Aguirre65409991
Juan Cruz Vega61612583
Diego Vásquez60654056
Tomás Lecanda59674255
Jarol Heritier58706025
Alejandro Gagliardi57583863
Danilo Actis54635740
Matías Molina54535651
Damián Lemos54319961
Almagro55
PlayerOverall RatingImpactAggressionDiscipline
S. Chamorro81769964
Facundo De La Vega 81866161
Ulises Yegros80804585
Francisco Marco79808951
Matías Cortave74716069
Enzo Martinez74714983
M. Benegas73869629
Brian Negro71993745
Enzo Silcan69479990
J. Fernandes Pinto65407291
G. Asís64408481
Uriel Villalobos62426872
Lautaro Busto61625756
Player Rankings
Snipers
Top goal threats
1
Facundo De La Vega Almagro
86
2
M. BenegasAlmagro
86
3
Enzo MartinezAlmagro
71
4
Jarol HeritierAgropecuario
70
5
Brian BlandoAgropecuario
67
Wall
Top defenders
1
Brian NegroAlmagro
99
2
Francisco MarcoAlmagro
80
3
Ulises YegrosAlmagro
80
4
S. ChamorroAlmagro
76
5
Alan AguirreAgropecuario
75
Control
Top playmakers
1
Milton RamosAgropecuario
78
2
Jorge ValdezAgropecuario
68
3
Antonio NapolitanoAgropecuario
65
4
Jeremías Nicolás BustosAlmagro
63
5
Danilo José Ruíz DíazAgropecuario
62
Bad Boys
Most likely to get booked
1
Brian BlandoAgropecuario
1
2
Carlos AuzquiAgropecuario
1
3
Jeremías BustosAlmagro
1
4
Jeremías Nicolás BustosAlmagro
3
5
Renzo ConechnyAlmagro
5
Power Rankings
Strongest overall
1
Milton RamosAgropecuario
81
2
S. ChamorroAlmagro
81
3
Facundo De La Vega Almagro
81
4
Ulises YegrosAlmagro
80
5
Francisco MarcoAlmagro
79

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Agropecuario vs Almagro 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 Agropecuario vs Almagro 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 Agropecuario 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 Agropecuario vs Almagro 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 Agropecuario 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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