Against Late Fall Hardwoods, Exposed scores 64/100 (), while Shadowleaf by MO scores 54/100 ().
Based on color alignment, breakup scale, and texture density, the AI sees an approximate 10-point lean toward Exposed in this particular environment.
Forloh Exposed and Nomad Outdoor Shadowleaf by MO 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. Forloh Exposed holds a slightly broader scale spread, giving it a bit more range in tight brush and mid-distance openings.
Forloh Exposed vs Nomad Outdoor Shadowleaf by MO
Forloh Exposed and Nomad Outdoor Shadowleaf by MO 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 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. Nomad Outdoor Shadowleaf by MO 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. Forloh Exposed 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.