Wearable Schematic Trait Selection: A Quantitative Approach

Ideas
1

On behalf of The Forge Team, I’m excited to share a newly published litepaper: Wearable Schematic Trait Selection: A Quantitative Approach. In it, we propose a methodology for trait selection for new wearable schematics, with the goal of improving game balance and enhancing player experience.

Here are the key highlights:

  • The litepaper proposes a new methodology to guide trait selection for future schematics, aiming to maintain a balanced meta and cater to areas of high player demand.
  • The concept of “fit count” is introduced as a measure of the distribution of wearables across different trait combinations.
  • A detailed example demonstrates how to calculate fit count for a particular rarity and slot, and choose the next trait modifier based on standard deviation of fit counts.
  • An appendix includes a simulation showing the projected impact of the release of new schematics using the proposed methodology.
  • Based on this simulation, it’s estimated that a long-term goal of releasing around 70 new schematics could, over time, achieve a balance as close to equitable as possible in the Aavegotchi meta.

We believe this research and the proposed methodology could have a significant positive impact on the Aavegotchi experience, making it more fair, balanced, and fun for all players.

You can read the full litepaper for a more detailed exploration. We invite you all to read it and engage in the discussion. Your feedback and insights are highly valuable to us and the continuous development of The Forge as a vital protocol mechanic.

Looking forward to hearing your thoughts and engaging in fruitful discussions!

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2

Hey frens,

A new appendix has been added to the Wearable Schematic Trait Selection litepaper that deals specifically with wearable sets.

Appendix D introduces a refined methodology for assessing the balance and selection of new wearable sets. It focuses on:

  1. Counting unique wearables within fitting sets for each gotchi archetype instead of just counting set bonuses.
  2. Considering trait modifiers of individual wearables and set bonuses together to determine if a set is a fit for a gotchi.
  3. Excluding sets with a wide range of rarities in a single set from the analysis for better balance.
  4. Proposing new schematic traits to balance the distribution of wearable sets across gotchi archetypes based on the calculated standard deviation of fit counts.
  5. Providing guidelines for constructing new sets based on correlation studies, which include considering the rarity tier range, trait count, wearable count, and degree of mismatched traits.

This methodology aims to further improve the balance of the wearables meta, ensuring a balanced and diverse range of options for players.

As usual, any questions or feedback are welcome.

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