Against Late Fall Hardwoods, Prym1 Woodland scores 52/100 (), while ATAC-TDX scores 41/100 ().
Based on color alignment, breakup scale, and texture density, the AI sees an approximate 11-point lean toward Prym1 Woodland in this particular environment.
Seeland Prym1 Woodland and Browning ATAC-TDX 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. Density differs slightly: Seeland Prym1 Woodland stays fairly balanced in texture, while Browning ATAC-TDX runs a bit more open and sparse, changing how much the natural background shows through. Seeland Prym1 Woodland holds a slightly broader scale spread, giving it a bit more range in tight brush and mid-distance openings.
Seeland Prym1 Woodland vs Browning ATAC-TDX
Seeland Prym1 Woodland and Browning ATAC-TDX 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. Seeland Prym1 Woodland stays fairly balanced in texture, while Browning ATAC-TDX runs a bit more open and sparse. Hunters who prefer more background showing may favor the more open one; dense patterns can help disrupt shape in chaotic vegetation. Edge work is alike as well — both leans into smoother, blended transitions, which affects how smoothly (or abruptly) each pattern merges with real brush, trunks, and rocks. Seeland Prym1 Woodland's scale index trends a touch higher, making its breakup blocks slightly larger than those in Browning ATAC-TDX. Seeland Prym1 Woodland runs a little denser on our readings, while Browning ATAC-TDX leaves slightly more background showing through — which some hunters prefer in simpler, more open environments. Seeland Prym1 Woodland 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.