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luxxio
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who can explain me the statistical details under the elo rating system? in particular why the expeted value rapresent the score of the game. thanx
zli034 said:Good to know, Elo's assumption is based on normal distribution as well.
Details here:
http://en.wikipedia.org/wiki/Elo_rating_system
zli034 said:if I have a score higher than the expectation of my performance, you can infer I'm doing better than my early plays. then I should gain higher rank.
The Elo Rating System is a statistical method used to calculate the relative skill levels of players in chess and other competitive games. It was designed by Arpad Elo in the 1960s and has since been adopted in various other sports and games.
The Elo Rating System works by assigning a numerical rating to each player based on their performance in previous games. When two players with different ratings compete against each other, the player with the higher rating is expected to win. If the higher-rated player wins, they will only gain a few points, while the lower-rated player will lose more points. However, if the lower-rated player wins, they will gain a significant number of points, while the higher-rated player will lose a significant amount.
The K-factor is a constant value that determines how much a player's rating will change after a game. It is used to adjust the rating changes based on the level of competition and the number of games played. The higher the K-factor, the greater the potential for a player's rating to change after a game.
Yes, the Elo Rating System can be adapted for team sports by calculating a team's overall rating based on the ratings of individual players. However, it may not be as accurate as in individual games since team performance is also influenced by factors such as teamwork and strategy.
Yes, there are a few limitations to the Elo Rating System. It does not take into account factors such as luck, injuries, or changes in player performance over time. It also assumes that all games are equally important, which may not always be the case. Additionally, it may not be as accurate in predicting the outcomes of games between players with significantly different ratings.