Against Late Fall Hardwoods, Late Seezyn scores 32/100 (), while Atera scores 50/100 ().
Based on color alignment, breakup scale, and texture density, the AI sees an approximate 18-point lean toward Atera in this particular environment.
Treezyn Late Seezyn and Tekari Atera are both mixed-scale patterns, so they behave similarly from a scale point of view. Both patterns balances micro and macro elements, keeping them fairly steady across different shot distances. They are also similar in overall density, so neither one is dramatically busier or more open. Treezyn Late Seezyn holds a slightly broader scale spread, giving it a bit more range in tight brush and mid-distance openings.
Treezyn Late Seezyn vs Tekari Atera
Treezyn Late Seezyn and Tekari Atera have been analyzed using our CamoMatrix AI engine, which measures scale, density, and edge behavior directly from the flat pattern artwork. Both land in the mixed-scale category, meaning they balance fine texture with larger breakup blocks instead of living at one extreme. Density is similar, so neither pattern overwhelms the eye or leaves too much empty space. Edge style diverges: Treezyn Late Seezyn uses sharper, harder transitions, while Tekari Atera mixes both hard and soft edges. Softer edges often melt better into natural backgrounds, while harder edges can create stronger breakup in certain lighting. Treezyn Late Seezyn's scale index trends a touch higher, making its breakup blocks slightly larger than those in Tekari Atera. Treezyn Late Seezyn runs a little denser on our readings, while Tekari Atera leaves slightly more background showing through — which some hunters prefer in simpler, more open environments. Treezyn Late Seezyn carries more spread in our readings, which can make it more forgiving when moving between close-cover stands and semi-open edges. As always, these results come from flat pattern imagery. Real-world performance depends heavily on terrain, season, and how the garments fit and move.
This is a pattern-only comparison from flat artwork. Terrain, season, and real backgrounds will still push one or the other ahead in specific setups.
Learn how the CamoMatrix AI evaluates camouflage patterns
Defines the dominant size of shapes in the pattern.
Indicates which scale range the pattern leans toward overall.
How busy the pattern is with shapes and noise.
How hard or soft shape boundaries are.