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| − | A family of [[Targeting]] strategies that involve the accumulation of statistics relevant to aiming at opponents, particularly those strategies that process input on the fly and store them in a data structure for quick access at fire time, as opposed to [[Log Target|log-based targeting]] methods that store raw data and analyze it at fire time.
| + | #REDIRECT [[:Category:Statistical Targeting]] |
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| − | The statistics gathered could be anything that can be used to reconstruct a firing angle, such as the success rates of different [[:Category:Simple Targeting Strategies|simple targeters]] in a [[Virtual Guns]] array, the last [[Bearing Offset|bearing offset]] that would have hit the enemy, or a [[Segmentation|segmented]] array of [[Visit Count Stats]].
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| − | == Forms of statistical targeting ==
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| − | * '''[[GuessFactor Targeting (traditional)]]''' - The most common and successful form of statistical targeting involves the combination of [[GuessFactors]], [[segmentation]], and [[Visit Count Stats]]. Few modern bots use any other form of statistical targeting.
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| − | * '''[[Neural Targeting]]''' - This method of targeting trains a neural network to output correct firing angles based on input given at fire time. While not a commonly used method, it has been proven to have strong potential by [[Engineer]], by [[Wcsv]].
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| − | * '''[[Averaged Bearing Offset Targeting]]''' - A simple approach to statistical targeting. This method works by tracking the [[bearing offset]] that would have hit the enemy each time a bullet is fired (using [[Waves]]) and then firing at that average of those offsets.
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| − | * '''[[Angular Targeting]]''' - The original form of Angular Targeting was the same as Averaged Bearing Offset Targeting. A more effective version was used in [[Gouldingi]], called [[AngularTargeting/Factored]], which multiplied the bearing change by a factor that was continually averaged and dependent upon the enemy's current direction and velocity.
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| − | * '''[[Laser Targeting]]''' - The next step up in complexity from Averaged Bearing Offset Targeting, this method kept a log of correct firing angles, from which it would randomly select one at fire time.
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| − | * '''[[BestPSpace]]''' - While not really a firing technique in itself, this method describes segmenting the probability graphs based on different variables to select the best probability.
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| − | [[Category:Advanced Targeting Strategies]]
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