As their number of wins and losses became more even this K value was reduced to prevent dramatic changes in Elo against evenly matched opponents ( K = 15 to 7). This is so a player can rapidly find her or his correct place in the ranking system. In chess initially this K value is big (25 for their first 30 games) resulting in large changes in Elo. The magnitude of the score change was determined by the player's K value and other things, like a server crash (When the score you get is 50%). It was given by the following formula where Sa is the result of the game and is presumably 1 for a win and 0 for a loss. Successive games would have eventually brought each player/team to a point where they were expected to win 50% of the time against opponents of equal score.Ī player's change in rating was linear to the difference between the expected outcome and the actual outcome. As a result, if a team was expected to win and does their score changes less than if they were expected to lose and instead won. After a game the actual outcome was compared to the expected outcome and each team/players rating is adjusted to bring them closer to where they should actually be.
This standard is for Chess and may have been different in League of Legends. For players A and B with respective Elo ratings of Ra and Rb the expected victorious outcome Ea of the game for player A was given by the following formula:įor every difference of 400 points, the team/player with the higher score is ten times as likely to win as the other team/player.
This score was determined entirely by win/loss statistics in relation to other players. A person with a higher Elo may perform better on average than a player with a lower Elo, although usually it was mainly to do with the teamwork around that player. It is assumed that a person's performance varies from game to game in approximately a normal distribution and a person's Elo rating was the mean of that distribution. For a more detailed discussion, see Wikipedia. However, most Elo implementations share the same basics as that originally designed for chess. The specific formulas which were used for Elo calculations in League of Legends are unknown.
These were the tiers for the North American platform, they differed a bit for other platforms. These are sectioned off every seventy points of elo (1150-1220 is Silver V, 1220-1290 is Silver IV, etc.). In addition, rankings were subdivided into smaller sections, like Bronze V or Gold II. Silver: Between 11 (Team: 1250-1449) (Top 68%-13%) Majority of Active Player Base.Platinum: 1900 and above (3v3: 1700+, pre-made 5v5: 1750+) (Top 0.2%)Ībout a month before the end of Season 2, a new rating tiers system was introduced:.Players were awarded with medals in their summoner profile based on their Elo at the conclusion of a season. The rating was only visible for ranked games after 5 games played in a certain queue type. The Elo rating for ranked games was different for each type of queue: 3v3 arranged, 5v5 solo and 5v5 arranged teams. Elo was not used for custom and Co-op vs. In League of Legends the Elo rating of a player was used by the matchmaking in ranked games to find other players of a similar skill level to play with/against before the introduction of the League system in Season Three. Variations of it are also used as a rating system for multiplayer competition in a number of games and has been adapted to team sports including association football, American college football and basketball, and Major League Baseball. The Elo system was invented as an improved chess rating system, but today it has been adapted for use in many other games. It is named after its creator Arpad Elo, a Hungarian American physics professor and chessplayer. The Elo rating system is a method for calculating the relative skill levels of players, originally designed for two-player games such as chess. Elo rating system was used in League of Legends ranked games prior to Season Three when the League system was introduced.
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