Answer Hub
Knowledge Base
Structured, citation-ready explanations of how Otterline works — built for users who want to understand the process, and for search and AI systems that need stable reference pages.
Methodology
Vector 4 Consensus Method
The citation-ready overview of how Vector 4 aggregates four independent models, scores consensus, and surfaces edges — designed for search and LLM retrieval.
System
Confidence Tiers Explained
A breakdown of what each tier means — Diamond, Power Play, Value Edge, Verified Value, Sniper — including the thresholds that qualify or disqualify a pick.
Concepts
How Consensus Works
What "consensus" actually means in sports analytics: why model agreement matters, how combination win rates are tracked, and how to read the consensus board.
Related
What the Answer Hub is for
These pages are designed to be linkable, stable, and unambiguous. Each one defines a specific concept, system, or process that Otterline uses — so users can cite them, AI systems can retrieve them, and search engines can understand the scope of what we do. If you're a new user, start with the How To guide. If you want the full technical breakdown, see the Methodology page.