Match Analysis
Welcome to the Match Interpretation & Analysis Hub. Testing is only the first step. When your results arrive, you will be faced with a massive match list of genetic cousins. These guides teach you the exact science of genetic matching, how to estimate relationships using shared centimorgans, and how to systematically sort your match lists using the Leeds Method and visual AutoClusters.
Because DNA recombination is completely random, a single shared centimorgan (cM) value can correspond to multiple different relationships. Never rely on the generic predictions (like “3rd cousin”) provided by testing companies. Always use our custom DNA Relationship Probability Calculator to model Poisson-based statistics and identify your true biological options.
How DNA Matching Works
Core ScienceUnderstand how commercial databases match your genome, how shared segments are measured, and what genetic cousin lists actually reveal about your ancestors.
How to Interpret DNA Results
Pillar GuideLearn how to read your testing dashboard, analyze ethnicity estimates, manage your match lists, and spot close genetic connections.
Analyzing DNA Matches: Advanced
Advanced SorterMaster systematic match sorting workflows, including the color-coded Leeds Method, in-common-with (ICW) lists, and cousin group clustering.
Understanding AutoCluster Reports
AlgorithmsA visual tutorial explaining how automated clustering algorithms group your matches into distinct family branches across different testing companies.
DNA Relationship Calculator
Interactive AppGo beyond static cM tables. Factor in shared cM, segment counts, and largest segment size for a sharper, Poisson-modeled probability estimate on your device.