Parma Perm VS Uralmash

This match is the Russian VTB United League and will be played at 21:00 Beijing time on February 1, 2026. The two sides are Perm Parma, who are playing at home, and Uralmash, who are visiting away. Your bet is on a total of less than 162.5 points.

of the two teams' aggregate scoring trends in recent matches is crucial. Perm Parma needs to pay attention to its average points per game, offensive efficiency and defensive intensity in the last 5-10 games, especially its tempo control ability. Uralmash also needs to look at his recent offensive and defensive performances, especially his scoring and conceding data on the road. A comprehensive assessment of whether the two teams tend to play against each other with high scores or low scores in the near future will directly determine the direction of the big and small markets.

examines the total scoring record of past direct conversations between Perm Palma and Uralmash. The total points scored in the last 5 or more meetings between the two sides need to be counted, the average is calculated, and their distribution is observed (e.g., how many matches have scored less than 162.5 in total). The rhythm and style of historical confrontations are often continuous and are a key reference for judging the over/under score of this game.

are for the Under 162.5 market you are offering, which is 1.92. This is an equilibrium level, indicating that the institution's initial judgment that the total score is close to the dividing line, and the risk and return are equal. It is necessary to combine real-time odds changes and market trading volume to observe the flow of funds and judge the market's popularity or doubts about "small points". At the same time, it is necessary to compare the handicap and odds offered by other mainstream institutions to verify the reasonableness of the 162.5-point market.

is based on the above analysis for comprehensive research and judgment. First, combine the recent offensive and defensive states of the two teams to judge the possible rhythm of the game (fast or slow). Second, based on historical head-to-head data, assess whether the inherent style of play between the two sides tends to be defensive. Finally, refer to the expectations implied by the odds market. If recent records and historical head-to-heads show that both teams have limited scoring ability or excellent defense, and the odds are stable in favor of the direction of small points, the prediction probability of "under 162.5" is high. The core data logic that supports this prediction needs to be clearly identified.

on this part is a risk warning. Even if the data model supports small scores, it is still important to note the following factors that are not betting or carefully considered: 1. Sudden injuries or rotations of key players can disrupt the offensive and defensive systems. 2. League ranking pressure can lead to unconventional tactics (e.g., deliberately slowing down or speeding up the pace). 3. The on-site lineup does not match the pre-match expectations. 4. Odds fluctuate wildly on the spot, which may indicate important information that has not been disclosed. It is recommended to make a final decision after obtaining the most complete information.