Intent
The point is to keep this useful, lightweight, and enjoyable: public notes from the parts of fantasy football that are fun to think through.
Fantasy
Fantasy football, with receipts.
This section is a home for fantasy football ideas, experiments, and analysis that I find useful enough to share, including public-friendly pieces from the research system behind my private league work.
Analysis
AI-assisted writeups, model-informed notes, trade thoughts, player takes, and whatever else helps make better fantasy decisions.
Future Tools
This can grow into calculators, rankings, draft boards, player dashboards, or private experiments when the site needs them.
Dynasty Codex
A smarter fantasy notebook.
Dynasty Codex is the private system I use to turn scattered football inputs into clearer fantasy decisions: who to trade for, who to fade, which picks matter, and what signals are actually strong enough to act on.
In normal fantasy terms, it is part league notebook, part film-room whiteboard, part market tracker, and part research assistant. It does not replace judgment. It gives my judgment a better memory.
League contextPlayer dataMarket pricesAnalyst notesMy takes
How I use it
I ask practical questions: does this trade fit my roster, is this manager likely to sell, is a rookie pick more valuable than the name attached to it, or is a player getting cheaper while the role is improving?
What underpins it
It combines Sleeper league history, public NFL and college data, market values, startup ADP, best-ball context, source cards, and my own notes. Private and paid material stays private; public writing is original synthesis.
Why it is valuable
Fantasy is noisy. Codex helps separate facts from opinions, old signals from fresh ones, and interesting takes from actionable prices. The goal is not more information. The goal is fewer lazy decisions.
What it can become
From better notes to better tools.
The long-term upside is a fantasy workspace that knows the difference between a generic player take and a decision that matters in a specific league, roster, and market.
Sharper trade analysis
Trade ideas can account for league settings, roster windows, pick liquidity, manager tendencies, market value, and replacement-level scoring instead of just comparing calculator totals.
Edge hunting
The system can look for gaps between price and role: opportunity without points, analyst conviction before market movement, roster construction leaks, and players whose value depends heavily on format.
Publishable experiments
The best pieces can become public reports, draft boards, player dashboards, trade explainers, or small interactive tools here, with stale or uncertain data labeled plainly.