Results and statistics of the match Juarez W - Santos Laguna W (26 January 2024 03:10)

Match statistics and team analysis

Detailed analysis of the match Juarez W - Santos Laguna W (Liga Mx Women).

Championship: Liga Mx Women (Mexico). Championship statistics: average goals per match: 1.88 , average goals conceded: 1.37.

Teams: Juarez W vs Santos Laguna W.

Team form: Juarez W: 40% , Santos Laguna W: 30%. Team form reflects recent performance and is one of the key factors in our predictions.

Match statistics: Juarez W: wins 40% , draws 30% , losses 30%. , Santos Laguna W: wins 10% , draws 70% , losses 20%.

This page contains detailed match results and statistics, including goals, cards, corners, possession, shots on target, and other advanced metrics. Use this data to analyze team performance and improve your understanding of football statistics.

26 January 2024 03:10
5 - 1
(2)-(0)
Finished
25' Prisca Chilufya
45+2' Yuki Watari (Prisca Chilufya)
45+2' Casarez Jasmine Alexis
46' Soto Stephanie (Juelle Love)
61' Duarte Norma (Casarez Jasmine Alexis)
61' Farias Janelly (Castillo Miriam)
65' Yuki Watari
69' Solis Blanca (Lozada Ana)
69' Rodriguez Cynthia (De Alba Luisa)
71' Duarte Norma
84' Daniela Garcia
90+2' Yuki Watari
90+3' De Leon Lourdes Alejandra Acosta

Stats

Fixtures Juarez W

15 March 2026 19:10
Home win (1)
3%
Draw (X)
20%
Away win (2)
77%
Most likely score
0-2 (12%)
Total over 2.5
71%
Total under 2.5
29%
21 March 2026 23:00
Home win (1)
72%
Draw (X)
20%
Away win (2)
8%
Most likely score
1-0 (18%)
Total over 2.5
41%
Total under 2.5
59%

Fixtures Santos Laguna W

18 March 2026 01:00
Home win (1)
3%
Draw (X)
19%
Away win (2)
78%
Most likely score
0-3 (13%)
Total over 2.5
73%
Total under 2.5
27%
21 March 2026 23:00
Home win (1)
72%
Draw (X)
20%
Away win (2)
8%
Most likely score
1-0 (18%)
Total over 2.5
41%
Total under 2.5
59%
Cookie Policy

By continuing to use our site, you agree to the processing of cookies: language and time zone of the operating system and browser. The data is processed to provide correct data.