>排名分佈 TR 排名分佈 (《聯盟戰棋》) 牌階排名排名%牌階% 菁英0.017%0.017% 宗師0.033%0.033% 大師0.19%0.19% 鑽石I0.050%1.0% 鑽石II0.14% 鑽石III0.24% 鑽石IV0.57% 翠I0.28%4.3% 翠II0.68% 翠III1.1% 翠IV2.2% 白金I1.3%15% 白金II2.6% ...
>排名分佈 所有地區 單排 牌階排名排名%牌階% 菁英0.021%0.021% 宗師0.050%0.050% 大師0.35%0.35% 鑽石I0.28%2.3% 鑽石II0.35% 鑽石III0.46% 鑽石IV1.2% 翠I1.2%8.1% 翠II1.3% 翠III1.9% 翠IV3.7% 白金I1.3%12% 白金II2.2% 白金III2.9%
The League of Legends rank distribution is available through the Riot API. Once downloaded the data can be manipulated to create graphs which show the distribution curve for the League of Legends ranked player base. We downloaded the data for 4 different regions (Europe West, North America, ...
Surely I could only use data from the average League of Legends player, but where's the fun in that? League of Legends rank distribution (according to League of Graphs as of June 2022) is as follows: That means my data should consist of the following amount of games per elo: RankChalle...
distributed in tiers running from Diamond (the highest), through Platinum, Gold, Silver, and finally Bronze. There’s also an “Iron” tier, although this is mainly for new ranked players. PerLeagueOfGraphs.com(one of a remarkably large number of LoL stats sites), the distribution is ...
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While I am personally a big fan of the Swissdraw format, I will argue that the currently used system to rank teams has the problem that teams are awarded the same amount of Swiss points for a certain point differential, independent of the strength of the opponent. This drawback has ...
where Tier refers to the major portion of the rank described in Section 3, i.e., Bronze, Silver, Gold, Platinum, Diamond, Master, and Challenger, ignoring the 5, 4, 3, 2, or 1 division within a tier, Kills or Deaths or other individual metric is a whole number indicating the number...
首頁 >排名分佈 BR 單排 牌階排名排名%牌階% 菁英0.021%0.021% 宗師0.054%0.054% 大師0.33%0.33% 鑽石I0.30%2.6% 鑽石II0.39% 鑽石III0.55% 鑽石IV1.3% 翠I1.3%8.5% 翠II1.4% 翠III2.0% 翠IV3.7% 白金I1.4%12% 白金II2.3% 白金III3.1%