Against Late Fall Hardwoods, Mons scores 66/100 (), while Barren scores 48/100 ().
Based on color alignment, breakup scale, and texture density, the AI sees an approximate 18-point lean toward Mons in this particular environment.
EVTERRA Mons and UA Hunt Barren are both mixed-scale patterns, so they behave similarly from a scale point of view. EVTERRA Mons leans toward micro-scale detail, while UA Hunt Barren balances micro and macro elements, which shifts how each holds up in close cover versus more open sightlines. They are also similar in overall density, so neither one is dramatically busier or more open. UA Hunt Barren carries a wider spread in scale elements, which can help it stay effective both up close and as animals get farther out.
EVTERRA Mons vs UA Hunt Barren
EVTERRA Mons and UA Hunt Barren 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 style diverges: EVTERRA Mons leans into smoother, blended transitions, while UA Hunt Barren uses sharper, harder transitions. Softer edges often melt better into natural backgrounds, while harder edges can create stronger breakup in certain lighting. UA Hunt Barren's numeric scale index runs slightly higher, nudging it a bit more toward macro breakup, while EVTERRA Mons stays finer on average. UA Hunt Barren 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. UA Hunt Barren 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.