How This Meta Analysis Was Built
Rather than relying on opinion or a traditional tier list, these recommendations are based on a large-scale analysis of high-performing Guild Raid replays published by the Tacticus community.
Over 100 YouTube raid replays from multiple established creators were collected and cataloged. For each replay, the following information was recorded:
- Boss
- Difficulty Tier (L1-M2)
- Damage dealt
- Team composition
- Upload date
Step 1: Measuring Replay Quality
Each replay was assigned a Replay Scaled Damage value. Raw damage was adjusted for raid difficulty, giving additional credit to successful clears at L5, M1, and M2.
Step 2: Accounting for the Current Meta
More recent replays were given greater influence through a gradual recency weighting, while older strategies still contributed to the analysis.
Step 3: Measuring Community Adoption
Teams that appeared repeatedly across multiple independent creators were rewarded through a Frequency Weight.
Step 4: Calculating the Meta Score
These factors were combined into a single Meta Score:
Meta Score = Replay Scaled Damage Γ Date Weight Γ Frequency Weight
This rewards teams that are:
- High performing
- Successful at difficult content
- Widely adopted by the community
- Representative of the current state of the game
Final Recommendations
The highest-scoring composition is selected as the META recommendation.
An ALTERNATE recommendation is then chosen through manual review, favoring a fundamentally different team archetype rather than a small variation of the META team.