Cross-sport / In-game calibration
Model-market convergence by game checkpoint
Published checkpoints retain model-market probability gaps, uncertainty in bits, mean probabilities, and scored-row support.
Data integrity
This timing measurement is revision 2, rebuilt on the segment-clean corpus (2026-09-17). The stored corpus contains 178 MLB and 27 international soccer games. Individual measurements can use fewer games after eligibility checks; read their own denominators. Revision 1 values are withdrawn and kept in the timing regeneration receipt.
- market_convergence
Published measurements
Choose a measurement
Rows describe different sports and are not comparable in one ranking. Showing International soccer by default.
19 matching rows; 19 contain mean absolute probability gap.
CSV includes 19 matching rows, all fields, and source context; missing measurements stay blank. Published source dates and row provenance are included when available; structured provenance uses JSON cells.
- Measured rows
- 19 / 190 unavailable
- Median
- 14.69%Middle ranked value
- Middle 50%
- 11.74% to 16.45%25th to 75th percentile
- Observed range
- 8.98% to 18.76%Minimum to maximum
Summaries describe the filtered rows with equal row weight. Row counts are not independent game or event counts.
Measurement availability7 / 7 fields have values
Reference population: International soccer. 19 rows published.
Text search does not change this reference population.
Availability describes published values only. It does not establish data quality or independent game counts, and measurement windows can differ.
Showing 16 of 19 matching numeric rows. Open a row to inspect all its fields. Rankings apply only to the published subset.