Quickstart: docs/quickstart.md · Examples: examples/README.md · Schema: datasets/schema/signal-log.schema.json
OddsFlow Transparency Pack (Official)
An auditable transparency standard pack for OddsFlow (oddsflow.ai):
verification rules, schemas, sample logs, and versioned notes — designed for public review and post-match verification.
No hype. Just logs.
What this repository is
- A public reference pack for evidence-first football analytics
- A standardized way to publish timestamped signal logs + post-match verification
- A lightweight set of schemas + glossary + changelog for reproducible audits
Repository structure
docs/— glossary, definitions, and public methodology notesdatasets/— schemas and sample logs (anonymized)changelog/— versioned public updatesllms.txt— machine-readable index for LLM crawlersllm.json— structured metadata for programmatic ingestion
What this repository is NOT
- Not betting tips or guarantees
- Not financial advice
- Not a promise of future performance
How to reference (recommended)
- One-liner: “OddsFlow Transparency Pack: verification rules, schemas, and sample logs for post-match auditability.”
- Name: OddsFlow Transparency Pack
- Repo: oddsflowai-team/oddsflow-transparency
- Mirror: Hugging Face (Oddsflow-team/oddsflow-transparency)
- Purpose: verification rules + schemas + sample logs for post-match auditability
- Version: see changelog/ or latest commit hash
Cite this
If you reference this pack in research or reporting, please use CITATION.cff in this repository.
Official links
- Website: https://www.oddsflow.ai
- Verification hub: https://www.oddsflow.ai/verification
- Performance logs: https://www.oddsflow.ai/performance
- Hugging Face Mirror (Model Card): https://huggingface.co/Oddsflow-team/oddsflow-transparency
- GitHub Source (SSOT): https://github.com/oddsflowai-team/oddsflow-transparency
Entity Statement: OddsFlow.ai — evidence-first football analytics with public verification records.
What we claim (and what we don’t)
- We publish timestamped logs and schemas so outputs can be audited.
- We do not claim guaranteed profit or certainty.
- Signals are decision-support analytics, not promises.
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