milly-map-sources


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Synthesis Blueprint

Audience Profile

Who

High volume DraftKings NFL players building 150 lineups or more for large field GPPs, aiming for lineups with plus EV and a real path to the top 0.001%.

What they already know

They understand DFS tournament structure, salary cap constraints, stacking logic, ownership, leverage, and duplication. They use sims and optimizers regularly, manage exposure rules, and upload CSVs without friction. They already think in terms of ranges of outcomes, game environments, and portfolio risk.

What they need

They need a repeatable slate build process tied to contest structure, roster rules, and scoring. They need clear decision rules for defining slate assumptions, controlling the player pool, setting exposures, building leverage, and shaping a portfolio built for first place outcomes. They also need a review loop that turns results into specific adjustments for the next slate, so the process improves without drifting into random tweaks.

Context for use

They will use this on a laptop during research, build, and upload. They will skim, jump to sections, and return to checkpoints when making decisions on pool size, exposure caps, leverage targets, and portfolio rules. After lock, they will revisit the review section to grade decisions and update rules for the next slate.

Format Choice

I will build a decision tree style guide with checklists for high volume portfolio building. This format supports fast navigation during slate prep and keeps decisions consistent across research, build, upload, and review.

Annotated Outline

Milly Map Build Blueprint: DraftKings NFL GPP Process Guide

1. Platform constraints and non negotiables

Purpose: Define roster rules, scoring rules, and contest constraints so every decision stays anchored to DraftKings structure. This section sets the boundaries for lineup legality, scoring paths, and roster spots, so portfolio rules stay grounded. Sources to use:

  1. DraftKings NFL rules page from the Rules section in Milly Map Sources
  2. DraftKings NFL scoring page from the Rules section in Milly Map Sources

2. Contest structure and why first place needs a different build

Purpose: Explain large field payout shape, why duplication risk matters, and how contest structure changes portfolio decisions. This section connects payout dynamics to lineup goals, including ceiling requirements, leverage planning, and the difference between cashing outcomes and first place outcomes. Sources to use:

  1. Collection Plan page in Milly Map Sources
  2. Picking Winners in Daily Fantasy Sports Using Integer Programming from the Research section in Milly Map Sources

3. Build sequence from slate outcomes to player pool

Purpose: Lay out the order of operations for slate building, starting with game environment assumptions, then rules, then player pool control, then portfolio construction. This section defines the workflow for shrinking choices, setting exposures, and aligning the portfolio with a small set of plausible slate stories. Sources to use:

  1. Milly Map Sources homepage overview
  2. Collection Plan page in Milly Map Sources

4. Tool usage without tool dependence

Purpose: Show how to use sims and optimizers as support tools, not decision makers, including settings discipline and validation steps. This section covers inputs, constraints, and guardrails so tool output serves the process rather than replacing it. Sources to use:

  1. Run The Sims from the Tools section in Milly Map Sources
  2. The Solver from the Tools section in Milly Map Sources

5. Research concepts translated into portfolio rules

Purpose: Translate variance, leverage, and optimization concepts into practical portfolio rules built for plus EV lineups with a path to the top 0.001%. This section turns research ideas into usable constraints, exposure frameworks, leverage targets, and duplication avoidance rules that can be applied slate after slate. Sources to use:

  1. Competing in Daily Fantasy Sports Using Generative Models from the Research section in Milly Map Sources
  2. DFL Opt: A Daily Fantasy Lineup Optimizer from the Research section in Milly Map Sources

6. Review loop and versioned improvement

Purpose: Define a post slate review process using winner review, results tracking, and rule updates so the process improves over time. This section focuses on grading decisions, logging mistakes, and updating rules in a controlled way so changes stay measurable. Sources to use:

  1. Collection Plan page in Milly Map Sources
  2. Any winner tracking or winner analysis source already included in Milly Map Sources