Category:Statistical Targeting

A family of targeting strategies that learn about the enemy's movement through the accumulation of relevant statistics. In particular, these methods tend to process input on the fly, updating an internal data structure from which they can quickly generate a firing angle in future situations; this is in contrast to log-based targeting methods that store raw data and analyze it at fire time.

The statistics gathered could be anything that can be used to reconstruct a firing angle, such as the success rates of different simple targeters in a Virtual Guns array, the last bearing offset that would have hit the enemy, or a segmented Visit Count Stats array of enemy GuessFactors.

See also

• Waves