Against Late Fall Hardwoods, Striker scores 51/100 (), while Cipher scores 35/100 ().
Based on color alignment, breakup scale, and texture density, the AI sees an approximate 16-point lean toward Striker in this particular environment.
Broadside Camo Striker and Firstlite Cipher are both mixed-scale patterns, so they behave similarly from a scale point of view. Broadside Camo Striker balances micro and macro elements, while Firstlite Cipher leans toward larger, macro-scale blocks, 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.
Broadside Camo Striker vs Firstlite Cipher
Broadside Camo Striker and Firstlite Cipher 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: Broadside Camo Striker mixes both hard and soft edges, while Firstlite Cipher uses sharper, harder transitions. Softer edges often melt better into natural backgrounds, while harder edges can create stronger breakup in certain lighting. Broadside Camo Striker runs a little denser on our readings, while Firstlite Cipher leaves slightly more background showing through — which some hunters prefer in simpler, more open environments. 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.