Hello LPL viewers and League of Legends summoners, this is the World Game Exchange.
This year's LPL Summer Tournament has all ended the reform of the competition system, and this year's fixed group competition, the summit group and the Nirvana group have left a deep impression on people, and the data of the group competition has also been released one after another.
There are a lot of surprising players or teams in the big data, and today we will discuss the performance of the economy-related data.
As we all know, League of Legends is a tower pushing game, the core goal is to demolish the opponent's buildings, and the key to determining the advantages and disadvantages is more reflected in the economy, the team's economic leadership or the player's economic lead, the winning rate will be greater, the team will improve the economy by plundering map resources, killing assists, etc., and then through the blessing of the economy such as the small dragon ancient dragon to improve the combat power.
Therefore, players who can get more economy per game often hold the lifeblood of their team's victory, and players who can get higher economy will inevitably have very strong individual strength.
Here we will pay attention to the economy-related data, first of all, the average economic data of the players, this data has a more surprising situation, the number one player is actually from the EDG team's bottom lane player Leave, with an average of 15538 money per game, ranking first in the league.
The second-ranked player is also from the Nirvana group, which is the middle laner Yuekai of the UP team, with an average economy of 14,900 per game, and then Crème, Ruler, Knight and other players.
Take Uzi's four-guarantee and one-game style as an example, when there is a very strong supermodel in the team, and the team configuration is not so strong, the team will have a higher winning rate if the resources are tilted to the core of the team, and this year's EDG is like this, Leave can be said to have become the team's best brother.
The strength of Solokill in the team's top laner can be said to rank first in the league, and the personal performance of Cryin in the mid laner is also relatively poor after coming to EDG, so many games in EDG rely on Leave to C, and Leave is indeed more stable than before.
It can be said that the composition of the high average money per game is partly the strength of the players themselves, and the other part is the inclination of the team's resources, and the other data can better reflect the personal strength of the players, and this data is the average economic difference per game.
In this year's summer game, Bin players are at the top of the list with an average economic difference per game of 2033, and Bin in this year's summer game can be said to be the most stable existence in the team's state, and it has also become BLG's Dinghai Shen Needle, and his personal ability to line is directly full, which is the most trustworthy existence of BLG.
Behind Bin, there is a more interesting phenomenon, that is, the second, third and fourth players are all from TES, among which the mid-laner Xiao Cream ranks second with an average economy per game of 1953, and then Tian's 1894 and Meiko's 1830, many viewers here have to ask, why can the auxiliary players be on the list.
Personally, I think the reason is probably because the TES team likes to use the Sena system the most, which leads to Meiko's personal economy is higher, and TES is trying to shift the strategic core, and the Sena system is an important sign of this.
There is also a player in the list who has caused heated discussions among the audience, that is, AL's top laner Ale, who has a very high counterpoint economic difference, but in many games, Ale is prone to key mistakes in the late game, causing the team to lose the game.
We can find a lot of things through the data of the player's economy, I personally think that in the stage of team research with each other, through the study of data can be a good way to see the characteristics and style of a team's play, some teams take the middle single as the absolute core, some teams have strong top laners, and some teams have great importance in support, these data can lead the team to make the correct strategic layout in the game.