Contemporary discourse studies face the necessity to develop the methods of contrastive sub-discourse analysis which apply numeric and comparable data to diversify and describe sub-discourse types. The aim of the research is to propose a method of discourse profiling serving the purpose, and to further test the method in the contrastive study of linguistic creativity in different types of English language children’s novels. The category of linguistic creativity being the leading form of language poesis receives parametric description on all language representation levels (in written form) and provides the discourse values for contrastive analysis. These values are explored in the fragments of non-autobiographic and autobiographic adventure novel sub-discourse types authored by J.C. George, F. Gibson, J.D. Ullman, and G. Durrell (a total amount of 120.000 signs) annotated manually for 52 linguistic creativity parameters on phonological, morphological, word-formation, lexical, syntactic, and graphic levels. The working hypothesis is that the linguistic creativity parametric activity distributions represent the sub-discourse profiles and may serve to contrast sub-discourse types by means of their vectors’ contingency values. The analysis in individual parameter activity and in parameter groups activity demonstrated significant variance in sub-discourse construal, with autobiographic sub-discourse of G. Durrell manifesting several higher activity values in word-formation (occasional compounding), lexical use (the use of professional language, lexical tropes, allusive names, higher register style) and syntactic use (the use of parallel structures and syntactic intensifiers). In terms of morphological activity, the parameter values tend to be lower (morphological category shifts), the same stands true of some syntactic (the use of elliptical structures) and lexical parameters (the use of lower register types and proper names). The sub-discourse profiles demonstrate several common features, evidently typical of the discourse type itself, and the features differentiating non-autobiographic and autobiographic discourse subtypes. Vector correlation analysis revealed lower correlation values for autobiographic sub-discourse, which proves its specificity and testifies to the discourse profiling method applicability.