NBA / Player trends

How large is endpoint form movement?

Expresses the difference between a player's first and last retained 10-game windows relative to the first window.

Derived analysis30 published rows6 fieldsDate varies or is unrecorded; see scope

Published measurements

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MeasurementPopulationOrder

30 matching rows; 30 contain endpoint relative change.

CSV includes 30 matching rows, all fields, and source context; missing values stay blank.

Summaries describe the filtered rows with equal row weight. Row counts are not independent game or event counts.

Measurement availability6 / 6 fields have values

Reference population: All published groups. 30 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.

-59.77%Endpoint relative change254.45%

Showing 16 of 30 matching numeric rows. Open a row to inspect all its fields. Rankings apply only to the published subset.

01 / Interpretation

This puts the raw composite movement in the context of the player's starting level while retaining both endpoints.

02 / Calculation

Relative endpoint change = (last 10-game composite - first 10-game composite) / abs(first composite).

Use the table to inspect available fields and the source JSON to trace the formula inputs. CSV percentage values are stored as fractions.

03 / Population & limits

Published 15 largest risers and 15 largest fallers from 562 eligible movers, pooled 2023-24 through 2025-26.

Endpoint selection is sensitive to injuries, roles and schedule. Overlapping rolling windows are not independent and this is not a forecast.

04 / Source & method references

References explain ingredients and prior methods. They do not validate this derived analysis or establish its originality.