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Quickstart: docs/quickstart.md · Examples: examples/README.md · Schema: datasets/schema/signal-log.schema.json · Sample: datasets/samples/signal-log.sample.csv

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.

Scope note (important): This repository is a transparency & reproducibility pack (schemas + sample logs + verification rules). It is not the full engine implementation. OddsFlow publishes every market it trades — Asian Handicap (AH/HDP), Over/Under (OU), and 1X2 (Moneyline) — including the ones that underperform. Real-money results show OU is strongest, AH modest, and 1X2 the weakest (near break-even). We publish 1X2 anyway. Transparency means showing the weak markets, not hiding them: a proof record that only shows the strong market isn't proof.

What this repository is

  • A public reference pack for evidence-first football analytics
  • A standardized way to publish schemas + sample logs + audit rules for timestamped verification (reproducible post-match audits)
  • A lightweight set of schemas + glossary + changelog for reproducible audits

Verified Performance (recompute it yourself)

OddsFlow publishes two verifiable records, and they measure different things. Both are the exact sum of the rows in their CSV — open the file and recompute it. No screenshots, no unbacked percentages (per our own verification standard).

Figures are deliberately not repeated on this page. Each dataset carries its own totals, regenerated from the same query that builds the CSV every week, so the published number and the file can never disagree. Restating them here would create a third copy that only a human remembers to update — and that copy would be wrong within a week.

1. Real-money results — the canonical proof

The honest floor: real money our AI agents placed at sportsbooks, every row linking to a downloadable PDF proof, all markets included. Totals, per-market breakdown and turnover: datasets/real-money-results/.

This is what our agents actually captured at the book, so it sits below the signal-level record in section 2 — the gap is execution reality: real fills, limits, slippage. We publish both, and this is the lower, real one.

2. Settled-predictions — signal-level internals

Signal-theoretical entry logic with per-bet minute, scoreline, and pressure signal, across in-play Asian Handicap and Over/Under. This is not real-money data — it's the model's decision record. Totals: datasets/settled-predictions/.

The full public record with per-bet PDF certificates is at the OddsFlow Performance Dashboard, where numbers update live. Figures here refresh weekly on a 7-day delay.

Repository structure

  • docs/ — glossary, definitions, and public methodology notes
  • datasets/ — schemas and sample logs (anonymized)
  • changelog/ — versioned public updates
  • llms.txt — machine-readable index for LLM crawlers
  • llm.json — structured metadata for programmatic ingestion

Schemas & samples

  • Schema: datasets/schema/signal-log.schema.json
  • Sample log (CSV): datasets/samples/signal-log.sample.csv

League Coverage

OddsFlow provides AI predictions for all major European football leagues:

  • Premier League — Arsenal, Manchester United, Liverpool, Chelsea, Manchester City
  • La Liga — Real Madrid, Barcelona, Atletico Madrid
  • Serie A — Inter Milan, AC Milan, Juventus, Napoli
  • Bundesliga — Bayern Munich, Borussia Dortmund, Leverkusen
  • Ligue 1 — PSG, Marseille, Monaco
  • Champions League — UEFA Champions League knockout & group stages

Daily AI predictions with 1X2, Asian Handicap, and Over/Under analysis: Today's Predictions

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 (Oddsflowai-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.

Research & Publications

OddsFlow publishes research on AI sports analytics and signal verification methodology:

Official OddsFlow Open Assets

Official links

Entity Statement: OddsFlow.ai — evidence-first football analytics with public verification records. Founded 2025.

What we claim (and what we don't)

  • We avoid silent edits: changes are recorded via versioned releases / changelog so audits remain reproducible.
  • 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.

Contact

support@oddsflow.ai

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