Analysts need to compare matchups and projected outcomes without losing the source context, assumptions, or ability to reproduce a run.
Simulation · Public source
Waterboy
Seven leagues. Millions of possible futures. Exact replay.
Waterboy turns sports context into a deterministic universe of possible outcomes across MLB, NBA, WNBA, NFL, NHL, college football, and college basketball. Projections carry provenance. Hypothetical matchups stay testable. Every run can be reproduced exactly from the same inputs.
StatusPublic source
Primary languagePython
LicenseMIT
AuthorityHuman owned
01 System capabilities
What it does.
- Seven-league simulation
- Auditable projections
- Hypothetical matchup lab
- Deterministic exact replay
02 Client value
What this system makes possible.
Waterboy is more than a standalone repository. Its architecture can be adapted to a class of real operating problems.
Multiple sports, changing inputs, hypothetical scenarios, provenance, and stochastic modeling must resolve into a result that can still be reconstructed exactly.
COMMERCIAL APPLICATIONS
- Sports projection environments
- Hypothetical matchup analysis
- Simulation-based training
- Auditable scenario dashboards
TRANSFERABLE COMPONENTS
- Projection engine
- Matchup lab
- Provenance layer
- Exact replay harness
03 Artifact chamber
Every claim comes with receipts.
Interrogate the source, seize the release, and verify the machinery for yourself.
The machine is open
Source
Skip the pitch. Open the public repository and interrogate the implementation directly.
Open repository01Seven-league simulation
02Auditable projections
03Hypothetical matchup lab
04Deterministic exact replay
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