About

Built for a hunter who spent
twenty years analyzing investments.
Then made available to everyone else.

Fully Drawn Research started as a private analytical framework — a system built to answer a question that kept coming up during pre-season planning: which states and units actually represent the best opportunity, and how do you know?

The maps were always good. The data underneath the decisions was not. So a structured research process was built from scratch — drawing on the same analytical discipline applied professionally to investment research for two decades. What began as a personal tool eventually became clear it had broader value. FDR is the result.


Investment-grade discipline, applied to hunting intelligence.

The methodology behind FDR was developed by a CFA charterholder and MBA with two decades of professional investment experience. That background shapes everything about how this research is constructed: the sourcing of primary data over secondhand accounts, the insistence on normalized and comparable metrics across jurisdictions, the emphasis on what's decision-useful rather than merely informative, and the conviction-weighted framing of conclusions.

The analytical framework is proprietary and not fully disclosed. What can be said: it treats state and unit selection the way a rigorous investor treats an asset allocation decision — with structured inputs, explicit assumptions, and a scoring methodology designed to surface undervalued opportunities rather than confirm popular ones.


How FDR differs from mapping platforms
Mapping and navigation apps
Show you terrain, land ownership, and boundaries
Help you navigate an area once you've chosen it
Answer: how do I get around in this unit?
Geospatial layer — operationally excellent
Fully Drawn Research
Scores states and units on pressure, genetics, and opportunity
Helps you decide which area is worth choosing in the first place
Answers: where should I be allocating my tags and time?
Analytical layer — the decision before the map opens

Consolidated inputs. Proprietary scoring. State-level rankings.

FDR pulls from reputable primary sources — state agency harvest reports, land and access data, tag application records — normalizes them into a consistent framework, and applies a scoring methodology that weights the variables with the highest demonstrated impact on field outcomes.

The output is structured to be operationally specific: not a ranked list of popular destinations, but a rigorous assessment of where the legitimate opportunity is — and where the crowd has already priced it out.

Hunting Pressure
License density, harvest effort, and access metrics normalized across all 50 states.
Herd Genetics
Age structure, antler quality, population health, and habitat indicators by region.
Draw Odds
Tag availability, applicant volume, and preference point trends aggregated across states.
Opportunity Index
A composite score weighting pressure, genetics, and access into a single comparable ranking.

Hunters who make decisions the way analysts make investment calls.

FDR is not a general hunting publication. It is a research tool for the subset of hunters who approach location selection analytically — who already read agency reports, track multiple states across seasons, and recognize that the pre-season research process is where most outcomes are determined.

If you're trying to optimize your tag and time allocation rather than simply enjoy the process of exploring options, this is built for you.

Access the full research archive and interactive state analysis tools.
View Research → View Analysis →