Against Late Fall Hardwoods, Prym1 Woodland scores 52/100 (), while Obskura scores 40/100 ().
Based on color alignment, breakup scale, and texture density, the AI sees an approximate 12-point lean toward Prym1 Woodland in this particular environment.
Seeland Prym1 Woodland and Kryptek Obskura 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 Kryptek Obskura packs in heavier texture, changing how much the natural background shows through.
Seeland Prym1 Woodland vs Kryptek Obskura
Seeland Prym1 Woodland and Kryptek Obskura 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 Kryptek Obskura packs in heavier texture. Hunters who prefer more background showing may favor the more open one; dense patterns can help disrupt shape in chaotic vegetation. Edge style diverges: Seeland Prym1 Woodland leans into smoother, blended transitions, while Kryptek Obskura mixes both hard and soft edges. Softer edges often melt better into natural backgrounds, while harder edges can create stronger breakup in certain lighting. Kryptek Obskura's numeric scale index runs slightly higher, nudging it a bit more toward macro breakup, while Seeland Prym1 Woodland stays finer on average. Seeland Prym1 Woodland runs a little denser on our readings, while Kryptek Obskura leaves slightly more background showing through — which some hunters prefer in simpler, more open environments. 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.