Pumas - Leganes: betting tip and bets for the friendly match (July 6, 2025) from UPU

Pumas
Mexico
Friendlies 1
Spain
sergej-manturov
Sergey Manturov
Site expert
30 days+58=4-53
ROI+9.3%
Сергей
Listen
Pumas - Leganes
Pumas will face Leganes in a friendly match on July 6. Who will win and what bets should I place? The answer is in our betting tip

Command Analysis

Pumas

Current form

Pumas took the fourth place in the standings in the Mexican Apertura and thus made his way to the Clausura play-in. The club reached the finals, where they were defeated by Monterrey (0:2), conceding two goals in the second half. The team had previously met with Haures, finishing the regular season with a score of 1:1, but in the penalty shootout he was on top and defeated his opponent.

Leganes

Current form

Leganes failed the Primera season and was unable to gain a foothold in the elite of Spanish football. At the end of the championship, the club took 18th place in the standings and went back to the Segunda Division, having spent only a year among the best teams in Spain. In their last match, the squad defeated Valladolid (3:0), and beat Las Palmas (1:0) the game before, but this was not enough to save.

Tip and bets

TipPumas' victory
1.93

The chances of winning for the visiting team are low. Pumas looks more confident than his counterpart and is the favorite in today's match. The home team has won two out of four matches and is likely to emerge victorious. We can assume that the home team will take advantage of the factor of their field and win the victory.

Prediction – Pumas wins with a coefficient of 1.93

Will the prediction win?

Betting predictions stat

Explore all statistics
Total tips235
% of profit4.28%
Win percentage47.23%
Average coefficient1.9
Wins47.23%  (111)
Refunds8.51%  (20)
Loses44.26%  (104)
Total tips402
% of profit12.75%
Win percentage47.76%
Average coefficient1.88
Wins47.76%  (192)
Refunds7.96%  (32)
Loses44.28%  (178)
By continuing to use the site, you agree to our use of cookies. Details are in the Personal Data Processing Policy