Against Late Fall Hardwoods, IM Brush scores 39/100 (), while XRC scores 40/100 ().
Based on color alignment, breakup scale, and texture density, the AI sees an approximate 1-point lean toward XRC in this particular environment.
Gowild IM Brush and Tekari XRC 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: Gowild IM Brush runs a bit more open and sparse, while Tekari XRC stays fairly balanced in texture, changing how much the natural background shows through. Gowild IM Brush holds a slightly broader scale spread, giving it a bit more range in tight brush and mid-distance openings.
Gowild IM Brush vs Tekari XRC
Gowild IM Brush and Tekari XRC 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. Gowild IM Brush runs a bit more open and sparse, while Tekari XRC 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 style diverges: Gowild IM Brush mixes both hard and soft edges, while Tekari XRC leans into smoother, blended transitions. Softer edges often melt better into natural backgrounds, while harder edges can create stronger breakup in certain lighting. Gowild IM Brush's scale index trends a touch higher, making its breakup blocks slightly larger than those in Tekari XRC. Gowild IM Brush runs a little denser on our readings, while Tekari XRC leaves slightly more background showing through — which some hunters prefer in simpler, more open environments. Gowild IM Brush 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.