Run your first Odds Lab experiment
Configure a synthetic two-outcome market, pick a selection filter, and read the buckets, equity curve, and discrepancy panel.
- 1
Set the market shape
Choose an odds range, market overround, and pricing uncertainty. These define how the synthetic prices scatter around the true probabilities.
- 2
Pick a selection mode
All events, favorites, underdogs, an edge filter, or an odds threshold. Selection mode decides which events you 'bet', and it changes both sample size and variance.
- 3
Run and read the buckets
Each odds bucket shows events, win rate, average implied vs true probability, and ROI. Empty buckets show '—', not a fake zero.
- 4
Check the discrepancy detector
The ranked discrepancy panel summarizes model-vs-market gaps, +EV flags, and calibration drift. Look-ahead signals use the hidden true probability and are illustrative only.
Tip: Enable the A/B compare arm to run two selection rules on the identical tape.
Key takeaways
- Selection mode drives sample size and variance.
- Buckets are a frequency map of the market.
- Look-ahead signals are educational, not realizable.