Against Late Fall Hardwoods, Vengeance scores 48/100 (), while Exposed scores 64/100 ().
Based on color alignment, breakup scale, and texture density, the AI sees an approximate 16-point lean toward Exposed in this particular environment.
Vengeance Camo Vengeance runs macro-scale, while Forloh Exposed leans more mixed-scale, giving each a slightly different feel at various distances. Vengeance Camo Vengeance leans toward larger, macro-scale blocks, while Forloh Exposed 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.
Vengeance Camo Vengeance vs Forloh Exposed
Vengeance Camo Vengeance and Forloh Exposed have been analyzed using our CamoMatrix AI engine, which measures scale, density, and edge behavior directly from the flat pattern artwork. Vengeance Camo Vengeance reads more macro-scale, while Forloh Exposed trends mixed-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: Vengeance Camo Vengeance mixes both hard and soft edges, while Forloh Exposed leans into smoother, blended transitions. Softer edges often melt better into natural backgrounds, while harder edges can create stronger breakup in certain lighting. Vengeance Camo Vengeance's scale index trends a touch higher, making its breakup blocks slightly larger than those in Forloh Exposed. Vengeance Camo Vengeance runs a little denser on our readings, while Forloh Exposed 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.