Using gradients and mechanisms to distinguish strength? Bian Que and Ying Zheng have consistently won over 50% of the time, yet nobody pays any attention to them.

When it comes to ranked match options, players are easily swayed by preconceived notions and don't have the habit of analyzing team compositions. As they play more games and their awareness improves slightly, they might switch to a different tier to practice heroes with higher skill ceilings. Tank, Angela, and Xiao Qiao are often considered beginner-friendly heroes. However, once they switch ranks, the meta seems to restrict their use, so they turn to Shiranui Mai and Shangguan Wan'er. Their multiple dashes and agility create more room for survival, allowing them to poke, kite, and finish off low-health enemies. For those who prefer high accuracy, Gan Jiang Mo Xie and Nuwa will become their new favorites.

The mechanism provides a sense of security, believing that the win rate cannot be verified.

This shows that the levels of skill and difficulty have somehow become ingrained in players' minds. The harder a hero is to use, the more they force themselves to use them, believing that this effort will bring greater rewards. Climbing the ranks is the initial idea. In reality, many heroes are often underestimated. Even heroes with a 53% win rate can be called weak. Most people don't look at the data, but rather at the skill mechanics. This situation doesn't only occur with mages; marksmen are no exception. Marco Polo's stats are low, but everyone sticks to him. The main reason is that he is very friendly to solo queue players, carefree, and doesn't rely too much on support protection.

Bian Que

Data speaks volumes about strength; with win rates exceeding 50%, none of them should be underestimated. This time, let's look at which mage, despite being criticized for their unfun mechanics, has delivered outstanding performances. First up is Bian Que. Seeing teammates pick him in team compositions immediately evokes resentment and complaints, highlighting the deep-seated resentment and stereotypes. Many predict he'll never amount to much, arguing his potential is comparable to Zhou Yu. In the intense and fast-paced team fights, there's simply no time for him to slowly stack poison layers, resulting in numerous drawbacks. Who wants to talk about him in ranked matches?

This viewpoint is also supported by data: the pick rate across all skill levels is only 3%, with a win rate of 51.19%; in the 1350 peak ranking, the pick rate is 1.3%, with a win rate of 48.93%; and in top-tier ranked matches, the pick rate is 2.8%, with a win rate of 50.94%. While the role is relatively unpopular, maintaining this win rate across multiple versions is truly remarkable.

Image source: Internet