Against Late Fall Hardwoods, Reeds scores 41/100 (), while Marshfield scores 32/100 ().
Based on color alignment, breakup scale, and texture density, the AI sees an approximate 9-point lean toward Reeds in this particular environment.
Bassdash Reeds and Forloh Marshfield 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: Bassdash Reeds packs in heavier texture, while Forloh Marshfield stays fairly balanced in texture, changing how much the natural background shows through.
Bassdash Reeds vs Forloh Marshfield
Bassdash Reeds and Forloh Marshfield 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. Bassdash Reeds packs in heavier texture, while Forloh Marshfield 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 mixes both hard and soft edges, which affects how smoothly (or abruptly) each pattern merges with real brush, trunks, and rocks. Forloh Marshfield's numeric scale index runs slightly higher, nudging it a bit more toward macro breakup, while Bassdash Reeds stays finer on average. 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.