Novus Odds
 
LabsBeginner· 5 min read· 4 steps

Generate a synthetic dataset

Build fictional seasons of teams and games, then export aggregates and sample rows for offline study.

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Open the Datasets Lab
  1. 1

    Choose the shape

    Set sport, team count, players per team, seasons, games per season, universes, and a seed. Everything generated is fictional.

  2. 2

    Understand the scoring model

    Basketball and football use scoring floors and overtime so you never get stuck at silent ties; soccer allows low-scoring draws.

  3. 3

    Read the summary

    Home win rate, away win rate, and draw rate explain every game, alongside average totals and margins.

  4. 4

    Export for study

    Download aggregates and sample box scores as JSON for classroom exercises on implied probability — without touching real leagues.

Key takeaways

  • All rows are fictional and reproducible.
  • Scoring models match each sport's shape.
  • Export is aggregates plus sample rows only.
Related breakdowns guide →All tutorials →
Responsible use: these tutorials teach probability mathematics with synthetic data. They do not identify real-world profitable selections. Read the responsible-use page.