Against Late Fall Hardwoods, S18 scores 62/100 (), while Open Country scores 58/100 ().
Based on color alignment, breakup scale, and texture density, the AI sees an approximate 4-point lean toward S18 in this particular environment.
Code of Silence S18 and Sitka Open Country 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. Sitka Open Country carries a wider spread in scale elements, which can help it stay effective both up close and as animals get farther out.
Code of Silence S18 vs Sitka Open Country
Code of Silence S18 and Sitka Open Country 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: Code of Silence S18 leans into smoother, blended transitions, while Sitka Open Country mixes both hard and soft edges. Softer edges often melt better into natural backgrounds, while harder edges can create stronger breakup in certain lighting. Sitka Open Country 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. Sitka Open Country 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.