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.
MLB
MLB NRFI Bets Explained
What NRFI and YRFI mean, what first-inning data matters most, and where to find Otterline's featured MLB first-inning picks and full-board breakdowns.
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.