Argentina Superliga Predictions

Updated

Upcoming Games for December 8, 2025

TimeTeamsWinDrawBest
ML		GoalsTotal
Goals		Best
O/U

Bet Value

We use three different graphics to describe Bet Value within a matchup.

More on Bet Value
More Details
Estudiantes
Gimnasia ELP 		21.3%
51.1%		27.5%
+140
+255

0.80
1.39		2.19
o1½-130
u1¾-112

Games for Dec 7, 2025
Games for Dec 9, 2025

Completed Games

TimeTeamsWinDrawBest
ML		Final
Goals		Sportsbook
Log Loss		DRatings
Log Loss
Boca Juniors
Rosario Cent		27.6%
43.7%		28.7%
+223
+162

1
1		-1.10247-1.24789
Argentinos Jun
Instituto		25.3%
44.1%		30.7%
+107
+333

0
2		-1.50251-0.81905
CA Union
Gimnasia ELP		20.2%
53.3%		26.5%
+142
+264

3
1		-0.91374-1.59830
Platense
San Lorenzo		23.1%
51.2%		25.7%
+280
+164

1
0		-1.36704-1.46551
CA Huracan
Independiente		18.9%
54.2%		26.8%
+300
+125

6
5		-1.43540-1.66527
Platense
River Plate		11.4%
70.1%		18.5%
+795
-195

4
2		-2.23241-2.17103
Independiente
Boca Juniors		23.0%
47.9%		29.1%
+260
+136

1
0		-1.32965-1.46872
San Lorenzo
Argentinos Jun		21.9%
50.5%		27.6%
+555
-135

8
7		-1.92799-1.52033
CA Huracan
Rosario Cent		21.5%
52.5%		26.0%
+410
+106

1
0		-1.66110-1.53730
Barracas Central
River Plate		6.1%
80.7%		13.2%
+953
-265

0
3		-0.35558-0.21468
Deportivo Riestra
CA Huracan		11.6%
66.9%		21.5%
+405
+108

2
3		-0.76766-0.40229
Instituto
Argentinos Jun		22.0%
48.9%		29.1%
+564
-168

1
3		-0.51790-0.71543
Independiente Rivadavia
Independiente		12.7%
65.2%		22.1%
+550
-159

0
1		-0.52525-0.42811
Lanus
Boca Juniors		18.0%
58.2%		23.7%
+396
-105

2
4		-0.70579-0.54049
Platense
Racing Club		18.9%
55.8%		25.3%
+367
-115

1
0		-1.58338-1.66469
Estudiantes
Rosario Cent		25.3%
48.5%		26.3%
+250
+152

0
2		-0.96194-0.72453
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Season Prediction Results

 GamesRecord (Pct)No Pick

Log Loss

Log loss is used to determine the accuracy of a model.

More on Log Loss
+/-
Sportsbooks10-1-0 (0.000)0-1.59544 
Sportsbooks10-0-0 (0.500)1 
DRatings10-1-0 (0.000)0-1.54243
0.05301

Predictions Methodology

The Predictor is used to predict future Argentine Superliga soccer games based on a computer formula that utilizes data from past games. These predictions don’t account for injuries, or other unknown factors that may be cause the results of the game to be swayed in one direction or another.