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Analytics library

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.

Derived analysis29 published rows7 fieldsDate varies or is unrecorded; see scope

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 values stay blank.

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.

Availability describes published values only. It does not establish data quality or independent game counts, and measurement windows can differ.

0%Mean absolute probability gap18.76%

Showing 16 of 19 matching numeric rows. Open a row to inspect all its fields. Rankings apply only to the published subset.