In chess, Elo, Edo, and ECO refer to different systems or classifications, each serving a unique purpose in the context of the game. Here’s an explanation of each:

1. Elo Rating System

Elo refers to a method for calculating the relative skill levels of players in zero-sum games such as chess. It was developed by Arpad Elo, a Hungarian-American physics professor and chess enthusiast, and is now widely used in chess and other competitive games. The Elo system assigns a numerical rating to each player based on their game results against other players. The key points of the Elo rating system are:

  • Rating Differences: The difference in ratings between two players serves as a predictor of the outcome of a match. Higher differences mean a higher probability that the higher-rated player will win.
  • Win Expectancy: The formula computes the expected score for each player, which is the expected number of wins plus half the number of draws.
  • Updates: After each game, the winner takes points from the loser. The amount of points exchanged depends on the expected outcome versus the actual outcome. If a lower-rated player beats a higher-rated player, the points transferred are significantly more than if the result aligns with expectations.

2. Edo Historical Chess Ratings

Edo is a historical chess rating system, similar in concept to the Elo system, but specifically retrofitted to rate players from historical periods before formal rating systems were established. This system was developed by Rod Edwards on his website “edochess.ca,” and it attempts to rate players from as early as the 16th century based on recorded game outcomes. Here are some specifics:

  • Historical Analysis: By applying modern statistical methods and historical game results, Edo ratings provide a way to compare players across different eras, although with certain inherent uncertainties due to the sparsity and reliability of historical data.
  • Purpose: Edo ratings are primarily used by historians and chess researchers interested in assessing and comparing the relative strengths of players from different historical periods.

3. ECO Codes

ECO, short for the Encyclopedia of Chess Openings, is entirely different from Elo and Edo. ECO is a classification system for categorizing chess openings. The system uses alphanumeric codes (A00–E99) to organize the openings based on their opening moves. Here’s more detail:

  • Structure: The ECO codes are organized into five categories labeled A through E, each dedicated to a group of openings with similar moves and strategies (e.g., A00-A99 for Flank openings, B00-B99 for Semi-Open games other than the French Defense, etc.).
  • Utility: Players and analysts use ECO codes to study openings, prepare for opponents, and discuss various lines and variations within particular types of openings.

Summary

  • Elo is a numerical rating system to measure the relative strength of players.
  • Edo is a similar concept but used historically to rate players from the past.
  • ECO is a classification scheme for chess openings, not related to player ratings but to categorizing standard opening moves in the game.

Each system plays a critical role in its respective domain within the chess world, whether it’s ranking current players, assessing historical players, or studying and discussing openings.

An unconventional opening that cedes the center to Black in order to prepare a Queenside fianchetto. Allows for flexibility depending on Black’s response.



Score of Berserk 12 vs Stockfish 16: 40 - 220 - 740  [0.410] 1000
...      Berserk 12 playing White: 25 - 61 - 414  [0.464] 500
...      Berserk 12 playing Black: 15 - 159 - 326  [0.356] 500
...      White vs Black: 184 - 76 - 740  [0.554] 1000
Elo difference: -63.2 +/- 10.6, LOS: 0.0 %, DrawRatio: 74.0 %
SPRT: llr 0 (0.0%), lbound -inf, ubound inf

Intel(R) Core(TM) i5-10400 CPU @ 2.90GHz
Cores: 6
Logical processors: 12
Installed RAM: 12.0 GB

CuteChess CLI 1.3.1
3m+5s, 2 concurrency, 256MB hash, 1 thread each, Syzygy 3-4-5

All 1000 games:
https://chessnerd.net/pgn/CERL/cerl-240209-1.pgn

Score of Dragon 3.3 vs Stockfish 16: 50 - 155 - 795  [0.448] 1000
...      Dragon 3.3 playing White: 26 - 45 - 429  [0.481] 500
...      Dragon 3.3 playing Black: 24 - 110 - 366  [0.414] 500
...      White vs Black: 136 - 69 - 795  [0.533] 1000
Elo difference: -36.6 +/- 9.6, LOS: 0.0 %, DrawRatio: 79.5 %
SPRT: llr 0 (0.0%), lbound -inf, ubound inf

Intel(R) Core(TM) i5-10400 CPU @ 2.90GHz
Cores: 6
Logical processors: 12
Installed RAM: 12.0 GB

CuteChess CLI 1.3.1
3m+5s, 2 concurrency, 256MB hash, 1 thread each, Syzygy 3-4-5

All 1000 games:
https://chessnerd.net/pgn/CERL/cerl-240131-1.pgn

CvC and CvH. Includes 1,492 different high-rated bots, as downloaded 2023-11-29. Filtered to include only beautiful strong games. Unannotated. Doubles removed. No variants. Beauty scores added.

439,985 games | 138 MB ZIP | 448 MB PGN
https://www.mediafire.com/file/n9cz54mnzclm0bg/lichess-bot-games.zip/file

Strong games are also referred to by ChessBase as good games, and top games. The criteria seem to be an average of 2300+ and 10+ moves.

Beauty is determined according to interesting play, such as sacrifices. Between 0-3 medals are awarded according to the score. Beautiful games, by my own definition, have anywhere from 1-3 medals.