Match the sample
Choose a public Chess.com player, time control and requested game count so every view is built from the same sample.
Username · Rapid · 20 games
Public player intelligence for chess
See the player. Not just the eval bar.
Turn a sample of recent public Chess.com games into a connected player profile: how decisions hold up, where positions start to slip, which mistakes repeat and what is worth training next.
Input
Public game sample
Engine
Move-by-move evaluation
Output
Evidence-backed profile
Start analysis
No account required
Reveal a player profile
Enter a Chess.com username. Every page will use the same selected sample, so the profile, review, weaknesses and training stay connected.
Public Chess.com profiles only. Capitalization does not matter.
What comes out of one analysis
From a username to a player intelligence report.
The same selected sample powers every player view, so the profile, exact decisions, weaknesses and training stay connected.
Sample intelligence
20 rapid games
Connected report
Player profile
MAGICIAN
Creates practical complications and dynamic chances, but precision can drop when the position demands exact calculation.
Main training priority
Piece Safety
Validated recurring pattern
Pressure phase
Middlegame
Supporting sample context
Decision quality
Every analyzed move
Best
Good
Inaccuracy
Blunder
Validated lesson
Answer concrete threats before taking material
Recurring evidence linked back to exact positions from the sample.
The difference
A single mistake explains a move. A pattern explains a player sample.
An eval bar can tell you that one decision was bad. ChessReveal looks for recurrence across games, separates causal lessons from supporting context, and turns the strongest evidence into something you can actually train.
From games to training
One analysis. A connected chain of evidence.
The product is designed as a sequence rather than a collection of disconnected statistics.
Read every decision
Moves are evaluated and classified so the product can distinguish strong decisions from inaccuracies, mistakes, misses and blunders.
Move quality · Error impact
Look for repetition
Serious decisions are connected across games to surface recurring motifs, phase pressure and stable signals rather than isolated noise.
Patterns · Lessons · Context
Turn evidence into practice
The same profile feeds Game Review, Weakness Map and Training so users can move from diagnosis to exact positions and practice.
Review · Puzzles · 7-day plan
Product tour
Five views. Five different questions.
Select a view to see how ChessReveal moves from broad player identity to exact evidence, training and comparison.
Player Profile
Turn a game sample into a readable identity.
Player Profile condenses move quality, positional stability and recurring evidence into a compact description of the current sample.
Open Player Profile →
ChessReveal
Playing pattern
MAGICIAN
Creates dynamic chances and finds resources in positions that reward imagination.
Selected decision
Move 24 · Mistake
Played move, best move, impact and coaching context.
01 · Main priority
Piece Safety
02 · Secondary
Tactical Awareness
Player A
MAGICIAN
3.15 serious errors / game
VS
Player B
SURVIVOR
4.65 serious errors / game
More than a rating
Twenty games can tell a more useful story than one rating ever could.
Rating tells you the result of many games. A matched game sample can show how the decisions inside those games behave — and which problems are actually recurring.
Position stability
Where positions start to slip
Illustrative profile view
Move 1022%
Move 1538%
Move 2040%
Move 3056%
Decision quality
Every move classified
Recurring lessons
Repeated causes, not one-offs
Training direction
Evidence → practice
Evidence standard
Strong claims should require stronger evidence.
ChessReveal separates recurring causal lessons from broader supporting context. That distinction matters because a phase-level signal can show where problems occur without proving why they occur.
Validated pattern
Repeated concrete cause
A lesson is supported by recurring serious decisions with a consistent underlying motif.
Strongest basis for a training recommendation
Supporting context
Where pressure rises
Phase rates and positional checkpoints help locate the problem but do not automatically explain its cause.
Useful context, not a causal lesson
Product boundary
Sample, not personality
The analysis describes the selected games. It should not be read as a permanent label or a complete measure of a player.
Evidence over overclaiming02
Interactive training
Train the positions that match the profile.
Personal puzzles from analyzed games are mixed with Focus drills and a suggested seven-day structure built around the strongest available evidence.
Personal + Focus
10-position session
Full-size interactive puzzle board
03
Compare players
Put two chess profiles side by side.
Match the time control and sample size, then compare decision quality, position stability, recurring weaknesses and training priorities without a fake winner label.
Player A
MAGICIAN
Piece Safety
VS
Player B
SURVIVOR
Positional decision-making
FAQ
Questions behind the product.
How to interpret ChessReveal, what the analysis is meant to show, and where the boundaries of a public game sample are.
01 Is ChessReveal trying to replace normal engine analysis? +
No. Engine review is the foundation for evaluating individual decisions. ChessReveal builds on that by organizing a game sample into recurring patterns, player-level context and training priorities.
02 Does a Player Profile describe someone permanently? +
No. The profile describes the selected sample. Different time controls, periods or game counts can produce different evidence, especially when the sample is small.
03 Why separate validated lessons from phase pressure? +
They answer different questions. Phase pressure can show where serious errors happen more often; validated lessons are meant to explain recurring concrete causes behind serious decisions.
04 Can I analyze a player other than myself? +
Yes. ChessReveal is designed around public Chess.com profiles and public completed games, so the same workflow can be used for your own profile, a training partner, a student or another public player.
05 What is the point of the Training view? +
Training converts the profile into practice: personal puzzle positions, focus drills and a suggested week built around the strongest available evidence in the selected sample.
Start with a username
Analyze a player
↑
One public game sample. A much clearer picture.
Analyze a player, inspect the evidence and follow the same profile all the way into training.