01
22 Spring KPL Player Stats ——
On February 20, the second week of the 2022KPL Spring Tournament was officially played, after the first two weeks of competition, most of the teams in the three major groups of SAB played against each other, and the points of the major groups were relatively clear, so some netizens began to summarize the specific performance of the professional players of each team, from the wild, the middle road to the development road.
So without further ado, let's focus on the wilds and see how the players of each team perform in the first two weeks of this spring tournament.
02
Comparison of S group wild data ——
First of all, let's take a look at the comparison of field data in the S group. As we all know, since the KPL implemented the group competition system, the S group has always represented the peak combat strength in the league, wolves, ES and other strong teams are in the S group, it can be said that the audience watching the S group events is far higher than the AB two groups, but the audience is happy to see it, but the players in the S group are mostly under pressure.
May not be accurate and may differ from real-world data
According to the list of data provided by netizens, the wild player from the XYG team ranked first in the S group in September with the best comprehensive data, and his "KDA, participation rate, average kills per game, average deaths per game, and average assists per game" were the highest in the S group, and the recognized strongest wildflower sea in the S group was not as good as September in the above data level.
However, in terms of output proportion, injury proportion, economic proportion, etc., huahai's data is better than that of September.
At this point, we can conclude that September is a wild player with a very high participation rate, which means that his rhythmic ability is very strong, he can drive the rhythm of the whole field while brushing the economy and help his teammates open a breakthrough, while the flower sea of the ES team is a player who can brush the economy, hit the injury, and resist the damage, and the data of the two players has advantages and disadvantages, but this is enough to show that the September flower sea is the strongest two wild players in the S group at this stage.
After reading the top of the list, we naturally have to focus on the end. As shown in the figure, the bottom wild player in the S group data is from the Changsha Taobo team, in addition to the output ratio, economic transfer and injury two data, the other data are at the bottom. As a newcomer, I hope that I can cheer well in the follow-up competition.
03
Group A Wild Players Data Comparison ——
After looking at the team in Group S, let's set our sights back on the wild players of the Group A team. In Group A, Xuan Ying from the Xi'an WE team won the top spot with the advantage of multiple data, while the bottom of the list was Mo Fan of MTG.
Since WE has confirmed to enter the S group, you can completely substitute Xuanying's data into the data of group A for comparison, and although Mo Fan of the MTG team is at the bottom of the data, he has also played in the KPL for several years after all, and we have reason to believe that he will adjust his state in the subsequent games.
04
Summary——
Overall, teams have been very different in the two weeks after the start of the spring games after experiencing significant personnel changes during the spring transfer period. Although the data can not fully represent the ability of a player, but also has a certain reference ability, each fan may wish to replace the data for the daily performance of the selected players, to see if the data is directly proportional to the performance of the players in the game.