How Does Detect Cheating? (Explained), one of the most popular online chess platforms, has implemented various measures to detect and prevent cheating (most notably the use of Stockfish and other chess engines).

How Does Detect Cheating? uses a multifaceted approach to detect potential cheating, examining not only the mean move score rating (i.e., monitoring one’s natural talent level and progression) but also the distribution and standard deviation of a player’s moves.

While a player’s ELO and the mean move score rating are expected to naturally progress and the distribution shape alters with genuine skill improvement, a notably tight distribution or an unusually narrow standard deviation can signal computer-assisted play, as it contrasts with the typical variability seen in human play.

Additionally, an asymmetrical distribution, especially one that leans toward consistently good moves, may indicate a player is unfairly selecting superior moves or avoiding inferior ones, thus straying from anticipated patterns of human play.

Below we look at the methods uses to identify cheaters and maintain the integrity of the game.

Anti-Cheating Software employs sophisticated anti-cheating software that continuously monitors games and player behavior to detect any signs of cheating.

This software uses a combination of algorithms and machine learning techniques to analyze various aspects of a player’s moves and actions during a game.

The anti-cheating software looks for patterns and anomalies that may indicate the use of chess engines or other external assistance.

It analyzes factors such as move accuracy, move evaluation consistency, move time to identify suspicious behavior, and even factors such as clicking outside the browser using cursor-tracking technology.

If a player’s moves consistently match those of a chess engine or show an unusually high level of accuracy, it raises a red flag for further investigation.’s anti-cheating software is regularly updated and refined to adapt to new cheating techniques and stay ahead of cheaters. The platform also collaborates with experts in the field to enhance its detection capabilities.

Behavioral Analysis

In addition to anti-cheating software, employs behavioral analysis techniques to identify potential cheaters.

Behavioral analysis involves monitoring a player’s actions and interactions on the platform to detect any suspicious behavior. tracks various behavioral indicators, such as the frequency of games played, win rates, sudden improvements in performance, and cursor activity.

If a player exhibits an unusually high win rate, experiences a significant improvement in their playing ability within a short period, or is consistently clicking in a different window while they play, it raises concerns about fair play.

Furthermore, looks for patterns in a player’s behavior, such as consistent move times or repetitive gameplay strategies. Deviations from normal behavior can indicate the use of external assistance or cheating methods.

Statistical Analysis utilizes statistical analysis to identify players who may be cheating. By analyzing large amounts of data, the platform can detect statistical anomalies that suggest unfair play.

One statistical analysis technique used by is comparing a player’s moves to those of chess engines.

Chess engines have a distinct style of play, and their moves often have a high evaluation accuracy.

By comparing a player’s moves to those of chess engines, can identify any suspicious similarities.

Another statistical analysis method involves comparing a player’s move evaluation consistency to that of other players.

If a player consistently makes moves with evaluations that closely match those of chess engines or other top players, it raises concerns about the legitimacy of their play.

Not only monitoring good moves, but monitoring bad moves can also identify potential cheating by not only monitoring the mean move score rating of a player but also examining the distribution of their moves.

While a natural progression in a player’s mean move score rating is anticipated due to skill enhancement, the alteration in the distribution’s shape is important.

Legitimate skill advancement typically manifests as an increasing skew towards better moves as ELO improves. Engine-assisted play might reveal itself through a notably tight distribution and minimal skew, diverging from expected player development trajectories.

Essentially, while a player’s ELO represents the mean of a normal distribution, the standard deviation or some expected spread, of their move strength is also important to consider in identifying potential cheating.

A suspiciously narrow standard deviation might indicate consistent, computer-like play, as humans naturally exhibit variability in their performance due to fluctuating daily factors.

And an asymmetrical distribution, particularly one skewed towards predominantly good moves, could suggest that a player is illicitly selecting optimal moves or avoiding poor ones, deviating from expected human play patterns.


Fair Play Committee has established a Fair Play Committee to further enhance their cheating detection efforts.

The Fair Play Committee consists of a team of experts who review and investigate suspicious cases reported by their algorithm and player community.

When a player is flagged for potential cheating, the Fair Play Committee conducts a thorough investigation.

They analyze the player’s games, moves, and behavior to determine if there is sufficient evidence of cheating. The committee also takes into account any additional information provided by the player or other users.

If the Fair Play Committee concludes that a player has cheated, appropriate actions are taken, ranging from warnings and temporary bans to permanent account suspensions.

The committee’s decisions are based on a careful evaluation of the evidence and aim to ensure fair play for all users of

FAQs – How Does Detect Cheating?

1. How does’s anti-cheating software work?’s anti-cheating software uses algorithms and machine learning techniques to analyze various aspects of a player’s moves and actions during a game.

It looks for patterns and anomalies that may indicate the use of external assistance.

2. What behavioral indicators does monitor? tracks indicators such as the frequency of games played, win rates, sudden improvements in performance, and deviations from expected play.

Unusually high win rates or significant improvements in a short period raise concerns about fair play.

3. How does statistical analysis help detect cheating? uses statistical analysis to compare a player’s moves to those of chess engines and other players. It looks for similarities and anomalies that suggest unfair play.

4. Can detect cheating during a game?’s anti-cheating software continuously monitors games in real-time.

While it cannot detect cheating with 100% accuracy during a game, it raises red flags for further investigation based on suspicious behavior.

Sometimes cases are so egregious that it will ban a cheating player during a game.

5. How does the Fair Play Committee contribute to cheating detection?

The Fair Play Committee reviews and investigates suspicious cases reported by the player community.

They conduct thorough evaluations and make decisions based on the evidence to ensure fair play.

6. What actions are taken against cheaters on

If a player is found to have cheated, takes appropriate actions ranging from warnings and temporary bans to permanent account suspensions.

The severity of the action depends on the nature and extent of the cheating.

7. Can detect cheating using external devices?’s anti-cheating measures focus on detecting cheating within the platform itself.

While they cannot directly detect the use of external devices entirely (they can check if a player is moving their cursor off the browser to go into a different application), they analyze player behavior and moves to identify suspicious patterns.

8. How often does update its anti-cheating measures? regularly updates its anti-cheating algorithm to adapt to new cheating techniques and stay ahead of cheaters. They also collaborate with experts in the field to enhance their detection capabilities.

9. Are false positives possible in’s cheating detection?

While strives to minimize false positives, there is a possibility of occasional false positives due to the complexity of detecting cheating.

The Fair Play Committee carefully evaluates each case to minimize the chances of false accusations.

10. Can players report suspected cheaters on

Yes, players can report suspected cheaters on The platform encourages the community to report any suspicious behavior or players who they believe may be cheating.

11. Does share information about banned cheaters? respects user privacy and does not publicly disclose information about banned cheaters.

However, they may share case studies and general information to educate the community about their anti-cheating efforts.

12. Can detect cheating in correspondence games?’s anti-cheating measures are designed to detect cheating in both live and correspondence games.

The same algorithms and techniques are applied to analyze moves and behavior in both game types.

13. How long does it take for to investigate a suspected cheater?

The duration of an investigation by’s Fair Play Committee can vary depending on the complexity of the case and the availability of evidence.

Investigations are conducted diligently to ensure fair and accurate outcomes.

14. Can detect cheating in team matches?’s anti-cheating measures are applicable to team matches as well.

They analyze individual player behavior and moves to identify any suspicious patterns that may indicate cheating.

15. How does handle false accusations of cheating?

If a player believes they have been falsely accused of cheating, they can provide additional information and evidence to for review.

The Fair Play Committee carefully evaluates all available information before making a final decision.

Summary – How Does Detect Cheating? employs a multi-faceted approach to detect and prevent cheating on their platform.

They utilize anti-cheating software, behavioral analysis techniques, and statistical analysis to identify suspicious behavior and patterns.

The platform regularly updates its anti-cheating measures and collaborates with experts in the field to stay ahead of cheaters.’s case studies demonstrate the effectiveness of their detection methods, with cheaters being identified and appropriate actions taken.

The platform’s Fair Play Committee further enhances their cheating detection efforts by conducting thorough investigations and making informed decisions based on the evidence.


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