Against Late Fall Hardwoods, Winona scores 63/100 (), while Verse scores 34/100 ().
Based on color alignment, breakup scale, and texture density, the AI sees an approximate 29-point lean toward Winona in this particular environment.
Bob Fratzke Winona and TUO Gear Verse are both mixed-scale patterns, so they behave similarly from a scale point of view. Bob Fratzke Winona leans toward larger, macro-scale blocks, while TUO Gear Verse 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. TUO Gear Verse carries a wider spread in scale elements, which can help it stay effective both up close and as animals get farther out.
Bob Fratzke Winona vs TUO Gear Verse
Bob Fratzke Winona and TUO Gear Verse 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: Bob Fratzke Winona mixes both hard and soft edges, while TUO Gear Verse uses sharper, harder transitions. Softer edges often melt better into natural backgrounds, while harder edges can create stronger breakup in certain lighting. TUO Gear Verse's numeric scale index runs slightly higher, nudging it a bit more toward macro breakup, while Bob Fratzke Winona stays finer on average. TUO Gear Verse 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.