Back to Matches
🇦🇷Liga Profesional de Fútbol
Argentina
broken clouds
CCS

Central Cordoba SdE

WWL

1 - 0

FT

SL

San Lorenzo

LLWL
Tue, Aug 4, 12:15 AM
Estadio Único Madre de Ciudades (Santiago del Estero)
Sebastían Zunino

Live Stats

Real-time match statistics

Pre-Match Scanner

Advanced match analysis

Who will win?
0%
0%
0%

0 votes

Match Stats
CCS

Central Cordoba SdE

SL

San Lorenzo

38%

Ball Possession

62%

14

Total Shots

15

7

Ongoal Shots

2

36

Dangerous Attacks

63

16

Fouls

10

3

Corners

5

5

Substitutions

4

5

Yellow Cards

3

Match Data
CCS

Central Cordoba SdE

San Lorenzo

SL

2nd half 1-0

90+5'

Alexis Cuello

Lucas Varaldo

90+2'

Juan Cardozo

Lucas González

89'

Yuri Casermeiro

81'
78'

Facundo Gulli

Juan Rattalino

Leonardo Marchi

Santiago Moyano

78'

Tiago Cravero

Horacio Tijanovich

78'

Yuri Casermeiro

Marco Iacobellis

77'

Lucas Varaldo

Michael Santos

72'
69'

Diego Herazo

Matías Reali

66'

Nicolás Tripichio

Santiago Moyano

63'
62'

Mathías De Ritis

53'

Mauricio Cardillo

Nahuel Arias

Matías Vera

50'
46'

Gustavo del Prete

Juan Pablo Álvarez

1st half 1-0

Diego Barrera

41'

Michael Santos1-0

⚽
31'

Match preview

Central Cordoba SdE host San Lorenzo on Tue, Aug 4, 12:15 AM at Estadio Único Madre de Ciudades in Santiago del Estero, a Liga Profesional de Fútbol fixture. Sebastían Zunino has been appointed to referee the match.

Our model gives Central Cordoba SdE a 34% chance to win this one, against 31% for a draw and 35% for San Lorenzo.

Both teams are projected to score in 42% of simulations, against 58% where at least one side is kept off the scoresheet.

The model leans toward over 2.5 total goals, giving it a 42% likelihood against 58% for under 2.5.

Looking at recent form across all competitions, Central Cordoba SdE have gone over 2.5 goals in 1 of their last 3, and San Lorenzo have done so in 0 of their last 4.

FAQ

Common questions about Central Cordoba SdE vs San Lorenzo

Didn't find what you were after? These answers update automatically as our model refreshes.