> For the complete documentation index, see [llms.txt](https://playbook.checkmate.live/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://playbook.checkmate.live/arcade-mode-alpha-pack/alpha-pack/alpha-avatars/air-drop-weighting.md). # Air Drop weighting ## Class * Each Avatar is assigned a hierarchy based on the pieces found in chess * Avatars are weighted according to their class, with the King and Queen having the highest weighting and the Pawn the smallest weighting * Future drop allocations will be allocated based on class weightings
ClassSupplyDrop Weighting
King8886
Queen8886
Rook58884
Knight58883
Bishop58882
Pawn88881
## **Drop Weighting and Allocation** Drops may be in credits, collectibles or tokens, including the [Participation ](/gameplay-and-features/participation-token.md)Token. \ The example below shows that a King and Queen get x6 the allocation a Pawn receives.\ \ The following example is based on 10M Credits being dropped.
ClassDrop pool per Class (©)Drop Value Per Avatar (©)
King734,532827
Queen734,532827
Rook3,246,939551
Knight2,435,205414
Bishop1,623,470276
Pawn1,225,323138
\ \ Value is in the eye of the holder; make sure you consider the total supply of Alpha Avatar, its traits and drop weighting when choosing your class. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://playbook.checkmate.live/arcade-mode-alpha-pack/alpha-pack/alpha-avatars/air-drop-weighting.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.