ELO Score
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An ELO Score is a relative numerical score for an Elo Rating System (that represents the relative skill level of a player or entity within a rating system based on the outcome of head-to-head competitions).
- Context:
- It can (typically) be generated as the output of an Elo Rating System, reflecting a participant's performance compared to others within the same competitive pool.
- It can (often) increase when a player wins a match and decrease when a player loses, with the amount of change dependent on the relative scores of the competitors.
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- It can remain unchanged in the event of a draw, depending on the rating difference between the two players.
- It can be influenced by the K-factor, which adjusts the sensitivity of the score to match outcomes.
- It can be used to predict the probability of winning a future match based on the score differences between two competitors.
- It can be reset or recalibrated when a new player or entity enters the rating pool, often starting with a base score such as 1500.
- It can fluctuate significantly in cases of upsets, where a lower-rated player defeats a higher-rated player, causing a larger transfer of points.
- It can be valid only within the specific competitive pool or system in which it was calculated, meaning scores from different pools are not directly comparable.
- It can serve as a basis for ranking players or entities on a leaderboard, reflecting their relative positions within the competition.
- It can be adapted for use beyond traditional games, such as in ranking AI models like large language models (LLMs) in platforms like the LMSYS Chatbot Arena.
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- Example(s):
- ELO Scores in Chess, where a grandmaster might have an ELO Score over 2800, indicating their skill level relative to other chess players.
- ELO Scores in Esports, where a team's ELO Score in a game like League of Legends affects matchmaking and tournament seeding.
- LMSYS Arena Scores, that quantifies the LLM performance within the LMSYS Chatbot Arena based on the performance of large language models based on user feedback in pairwise comparisons.
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- Counter-Example(s):
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- See: Elo Rating System, K-factor, Leaderboard, LMSYS Arena Score.