Argentina Superliga Predictions

Updated

Upcoming Games for March 14, 2025

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TimeTeamsWinDrawBest
ML		GoalsTotal
Goals		Best
O/U

Bet Value

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

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More Details
Aldosivi
Argentinos Jun 		9.0%
72.4%		18.6%
+802
-250

0.56
2.05		2.61
o2¼-111
u2¼-106

San Lorenzo
Godoy Cruz 		36.0%
35.1%		28.9%
+196
+188

1.12
1.11		2.23
o1½-134
u1¾-117

Games for Mar 13, 2025
Games for Mar 15, 2025

Completed Games

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TimeTeamsWinDrawBest
ML		Final
Goals		Sportsbook
Log Loss		DRatings
Log Loss
Rosario Cent
Talleres		24.6%
49.5%		25.8%
+375
+100

0
0		-1.19023-1.35290
CA Union
Independiente Rivadavia		26.8%
44.8%		28.4%
+208
+172

0
2		-1.04529-0.80352
Deportivo Riestra
Gimnasia ELP		12.8%
64.1%		23.1%
+328
+120

1
1		-1.10407-1.46733
Godoy Cruz
Instituto		16.3%
60.9%		22.8%
+322
+116

1
1		-1.12905-1.47745
Belgrano
Newell's OB		30.1%
39.4%		30.4%
+213
+150

0
0		-1.17925-1.18984
Tucuman
River Plate		12.0%
68.2%		19.9%
+1100
-305

0
1		-0.32327-0.38308
Tigre
Aldosivi		42.5%
30.1%		27.4%
+168
+213

2
0		-1.01918-0.85536
Estudiantes
Defensa y Just		31.1%
39.9%		29.0%
+173
+200

0
1		-1.12893-0.91774
Barracas Central
Sarmiento		21.1%
53.4%		25.6%
+275
+140

1
1		-1.07631-1.36391
Lanus
Platense		33.7%
38.6%		27.6%
+174
+215

0
0		-1.07540-1.28576
CA Huracan
Racing Club		20.3%
51.6%		28.1%
+232
+141

1
0		-1.24827-1.59356
Independiente
San Lorenzo		28.8%
41.9%		29.3%
+198
+193

2
1		-1.13420-1.24615
Boca Juniors
CC Cordoba		45.3%
25.8%		28.9%
+175
+173

3
0		-1.05791-0.79193
San Martin SJ
Velez Sarsf		15.9%
60.1%		24.0%
+400
-109

0
1		-0.69921-0.50941
Argentinos Jun
Banfield		38.3%
28.2%		33.5%
+100
+368

2
1		-0.72877-0.95938
Newell's OB
Tucuman		22.5%
50.2%		27.4%
+297
+113

2
1		-1.41882-1.49348
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Season Prediction Results

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 GamesRecord (Pct)No Pick

Log Loss

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

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+/-
Sportsbooks00-0-0 (0.000)0 
Sportsbooks00-0-0 (0.000)0 
DRatings00-0-0 (0.000)0

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.