Against Late Fall Hardwoods, ATAC-TDX scores 41/100 (), while Prym1 Woodland scores 52/100 ().
Based on color alignment, breakup scale, and texture density, the AI sees an approximate 11-point lean toward Prym1 Woodland in this particular environment.
Browning ATAC-TDX and Seeland Prym1 Woodland 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: Browning ATAC-TDX runs a bit more open and sparse, while Seeland Prym1 Woodland stays fairly balanced in texture, changing how much the natural background shows through. Seeland Prym1 Woodland carries a wider spread in scale elements, which can help it stay effective both up close and as animals get farther out.
Browning ATAC-TDX vs Seeland Prym1 Woodland
Browning ATAC-TDX and Seeland Prym1 Woodland 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. Browning ATAC-TDX runs a bit more open and sparse, while Seeland Prym1 Woodland stays fairly balanced in texture. 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 numeric scale index runs slightly higher, nudging it a bit more toward macro breakup, while Browning ATAC-TDX stays finer on average. Seeland Prym1 Woodland lands slightly higher on the density index, adding a bit more visual texture. That can help in chaotic or brushy terrain where extra breakup is useful. Seeland Prym1 Woodland also shows a higher spread index, suggesting it can maintain its breakup across a slightly broader range of shot distances. 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.