![]() The actual evaluation is calculated based on many factors. Starting from values above around 1.5 (or below -1.5) in many positions the game ends decisive with a win for white (black) assuming perfect play. On the other hand, in very tactical positions you can usually trust engine evaluations. Take these values with a grain of salt, particularly for any evaluation between -1 and 1: there are many cases where the engine evaluations are not good, such as openings or closed positions with lots of maneuvering. In practical play you would hardly notice a change of +-0.1 or so. These evaluation values are (traditionally) displayed with two decimals which is much too high precision for humans. A positive score means white is better, a negative black is better and values around zero mean that both sides are equal. It does not store any personal data.As pointed out by Glorfindel, these are evaluations, which tell you who the engine thinks is better. The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. The cookie is used to store the user consent for the cookies in the category "Performance". This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. ![]() The cookies is used to store the user consent for the cookies in the category "Necessary". The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is used to store the user consent for the cookies in the category "Analytics". These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly.
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