Against Late Fall Hardwoods, RAPX scores 49/100 (), while Taramac scores 65/100 ().
Based on color alignment, breakup scale, and texture density, the AI sees an approximate 16-point lean toward Taramac in this particular environment.
Asio RAPX runs mixed-scale, while King of the Mountain Taramac leans more micro-scale, giving each a slightly different feel at various distances. Asio RAPX balances micro and macro elements, while King of the Mountain Taramac leans toward micro-scale detail, 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. Asio RAPX holds a slightly broader scale spread, giving it a bit more range in tight brush and mid-distance openings.
Asio RAPX vs King of the Mountain Taramac
Asio RAPX and King of the Mountain Taramac have been analyzed using our CamoMatrix AI engine, which measures scale, density, and edge behavior directly from the flat pattern artwork. Asio RAPX reads more mixed-scale, while King of the Mountain Taramac trends micro-scale. In the field this usually influences how a pattern holds together in tight cover versus more open terrain. Density is similar, so neither pattern overwhelms the eye or leaves too much empty space. Edge style diverges: Asio RAPX leans into smoother, blended transitions, while King of the Mountain Taramac mixes both hard and soft edges. Softer edges often melt better into natural backgrounds, while harder edges can create stronger breakup in certain lighting. Asio RAPX's scale index trends a touch higher, making its breakup blocks slightly larger than those in King of the Mountain Taramac. Asio RAPX 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.