· Primera Nacional
Gimnasia
ATT
7/10
DEF
5/10
2:2
San Martin de Tucuman
6/10
ATT
5/10
DEF
Full-time
Best Pick
Under 2.5
62%
Correct Score95′
Top
1-0
17.1%
6.50
Top
2-0
13.3%
8.50
1-1
11.1%
6.00
0-0
11%
8.00
2-1
8.7%
9.00
0-1
7.1%
11.00
3-0
6.9%
17.00
3-1
4.5%
17.00
159%
1.69TOP
X25%
3.96
215%
6.49
1X84%
X240%
1274%
xG — Expected Goals
Gimnasia
Gimnasia exp
San Martin de Tucuman
San Martin de Tucuman exp
goal
per 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Gimnasia
San Martin de Tucuman
Confirmed XI3-5-2
1
Álvarez
4
Cosaro
2
Varela
6
Dematei
8
Camargo
9
Cachi
5
Maidana
7
Paradela
3
Endrizzi
10
Molina
11
Gallardo
Impact Player Hot Head
Gimnasia25 players
44.5/ 99Average
Top Rated
1Francisco MolinaMID82
2Claudio PomboMID63
3Martin LazarteDEF57
San Martin de Tucuman36 players
44.4/ 99Average
Top Rated
1Nicolás CastroMID74
2Gonzalo RodríguezFWD67
3Alan CisnerosMID66
Player Rankings
Snipers
Top goal threats
1
Gonzalo RodríguezSan Martin de Tucuman
75
2
Facundo PonsSan Martin de Tucuman
68
3
D. DiellosSan Martin de Tucuman
63
4
Octavio BianchiGimnasia
58
5
Mauro Daniel CachiGimnasia
55
Wall
Top defenders
1
J. VarelaGimnasia
99
2
Alejandro GalvánSan Martin de Tucuman
70
3
Gonzalo VillarrealGimnasia
62
4
Guillermo CosaroGimnasia
57
5
Tiago PenalbaSan Martin de Tucuman
52
Control
Top playmakers
1
Francisco MolinaGimnasia
99
2
G. CarabajalSan Martin de Tucuman
75
3
Federico ParadelaGimnasia
72
4
Kevin LópezSan Martin de Tucuman
67
5
Alan CisnerosSan Martin de Tucuman
62
Bad Boys
Most likely to get booked
1
J. VarelaGimnasia
1
2
Nicolas Diego DemateiGimnasia
1
3
Hugo SoriaGimnasia
1
4
G. CarabajalSan Martin de Tucuman
1
5
Jorge Emanuel JuárezSan Martin de Tucuman
1
Power Rankings
Strongest overall
1
Francisco MolinaGimnasia
82
2
Nicolás CastroSan Martin de Tucuman
74
3
Gonzalo RodríguezSan Martin de Tucuman
67
4
Alan CisnerosSan Martin de Tucuman
66
5
Facundo PonsSan Martin de Tucuman
64

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Gimnasia vs San Martin de Tucuman 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 Gimnasia vs San Martin de Tucuman 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 Gimnasia 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 Gimnasia vs San Martin de Tucuman 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 Gimnasia 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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