Game Room · Chess · Account Archive
Analysis Chamber
Every recorded match becomes part of a long-form chess profile: results, openings, phase accuracy, recurring mistakes, time-pressure habits, opponent strength, and individual move autopsies. The farther you descend, the less this page asks “did you win?” and the more it asks why do your games keep becoming the games they become?
Reading account history…
01 · The Ledger
The account at a glance
The broadest layer of the archive. Results and volume live here; deeper chapters explain the structure underneath them.
Account-wide overview · filtered live as you change the controls above.
White / Black Split
Color tendencies02 · Chronicle
How the player is changing
A game is a point. A sequence of games is a trajectory. This chapter groups results over time to reveal whether performance, accuracy, and opposition are actually moving.
Scroll depth increases constellation density. Here the archive becomes chronological rather than categorical.
Performance Chronicle
Game-by-game score03 · Opening Grimoire
The first shape of your games
Your most common openings, their results, average accuracy when available, and how often the opening becomes the location of the first serious error.
Stored opening names are preferred. When an archive has PGN but no opening label, a small local signature map identifies only common families.
Most Played Openings
Frequency + scoreOpening Ledger
Best / worst samples| Opening | Games | Score | Wins | Accuracy | Avg opponent | First-error rate |
|---|
04 · Phase Profile
Where quality rises and collapses
Opening, middlegame, and endgame are separated so a strong overall result cannot hide a recurring weak stage.
Phase metrics require stored move analysis. Games without engine data remain part of W/D/L statistics but do not fabricate accuracy.
05 · Mistake Constellation
Errors that keep finding you
Single blunders matter. Repeated blunders matter more. This section groups engine classifications, repeated FEN fingerprints, recurring mistake labels, and tactical motifs when those fields exist in archived analysis.
Repeated-position clusters become candidates for the Past Mistake Challenge system in Chess Puzzles.
Recurring Mistakes
Grouped patternsMove Classification Profile
Analyzed player moves only06 · Pressure & Clock
What happens when time becomes material
Time-control splits, average move time, time-trouble errors, flags, and opponent Elo bands show whether difficulty comes from the board, the clock, or both.
Clock-specific metrics only appear when the archived game includes timing data. Missing timestamps are treated as missing—not as zero.
| Opponent Elo | Games | Score | Wins | Draws | Losses | Avg accuracy |
|---|
07 · Game Archive
Every recoverable game
Search by opening, variant, result, opponent, or date. Open any game with enough move data and the Autopsy chapter below becomes an interactive replay.
Legacy summary records can contribute totals but cannot appear as individual games because their moves were never saved.
08 · Game Autopsy
One game, move by move
The selected archived game is reconstructed on the board. Stored analysis classifications are attached to the move list where available; games without deep analysis remain fully replayable if their PGN or move list exists.
Select a game from the archive above.
0 / 0
Choose a recorded game above to begin the autopsy.
09 · Chess Identity
The patterns your archive can defend
A final synthesis built only from measurements the archive actually contains: preferred color, strongest phase, most common opening, recurring error family, mode performance, and data completeness.
This is descriptive, not a personality test. Statements disappear when there is not enough evidence.