KCCA Leopards Women VS JKL Lady Dolphins Women

This club friendly match will be held on February 7, 2026 at 17:00 (Manila time, Philippines), with the KCCA Jaguars women's basketball team hosting the JKL Dolphins women's basketball team. The user's prediction direction is "Over/Under Under 137.5" and provides away win odds information.

recent performance of the KCCA Jaguar women's basketball team needs to examine its offensive efficiency and defensive intensity, especially whether the scoring output is stable; The recent record of the JKL Dolphins women's basketball team needs to pay attention to its game rhythm and offensive and defensive conversion speed, which are the key basis for evaluating whether the total score can be less than 137.5 points.

of the two teams need to focus on analyzing the total points and playing style of past games to determine whether they tend to favor high-score offense or defensive tug-of-war, which is directly related to the feasibility of "less than 137.5" markets.

are "less than 137.5" for the large and small caps, and the odds offered by institutions are 0.86 (small points) and 0.84 (large points), and the slightly lower odds of small points show that institutions have a tendency to low scores. At the same time, the away win odds (no specific value provided) need to be combined with handicap analysis to evaluate the chances of winning the JKL Dolphins Women's Basketball Team and its impact on the total score of the game.

comprehensive evaluation: Based on the tendency to have small odds, possible defensive tests or lineup run-in factors in friendly matches, and the rhythm that the two teams may show in the near future, it is predicted that the total score of this game may be less than 137.5 points. The visiting JKL Dolphins Women's Basketball Team may need to rely on defense or control the rhythm if it wants to win, which also supports the direction of small points.

on club friendly matches are highly variable, the team's fighting spirit, main playing time and tactical focus are unknown, all analysis is based on conventional data models, actual matches may deviate from expectations, it is recommended to make prudent decisions.