Against Late Fall Hardwoods, Terra scores 34/100 (), while Summit scores 42/100 ().
Based on color alignment, breakup scale, and texture density, the AI sees an approximate 8-point lean toward Summit in this particular environment.
Pnuma Terra and Killik Summit are both mixed-scale patterns, so they behave similarly from a scale point of view. Pnuma Terra balances micro and macro elements, while Killik Summit leans toward larger, macro-scale blocks, which shifts how each holds up in close cover versus more open sightlines. Density differs slightly: Pnuma Terra runs a bit more open and sparse, while Killik Summit stays fairly balanced in texture, changing how much the natural background shows through. Killik Summit carries a wider spread in scale elements, which can help it stay effective both up close and as animals get farther out.
Pnuma Terra vs Killik Summit
Pnuma Terra and Killik Summit 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. Pnuma Terra runs a bit more open and sparse, while Killik Summit 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 work is alike as well — both mixes both hard and soft edges, which affects how smoothly (or abruptly) each pattern merges with real brush, trunks, and rocks. Killik Summit's numeric scale index runs slightly higher, nudging it a bit more toward macro breakup, while Pnuma Terra stays finer on average. Killik Summit 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. Killik Summit 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.