NBA / Matchup explorer

Opponent scoring range by team

For each team, compares its highest and lowest published opponent-specific mean combined point totals and summarizes the included opponent means using their meeting support.

Derived analysis30 published rows9 fieldsDate varies or is unrecorded; see scope

Published measurements

Choose a measurement

MeasurementPopulationOrder

30 matching rows; 30 contain high-low mean-total range.

CSV includes 30 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: 30 / 300 unavailable
Median: 31.46Middle ranked value
Middle 50%: 28.23 to 34.6725th to 75th percentile
Observed range: 23.77 to 48.5Minimum to maximum

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

Measurement availability9 / 9 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.

0High-low mean-total range48.5

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

01 / Interpretation

What this measures

The range shows the interval between included opponent means. Read the meeting-weighted mean as their support-weighted center and the SD only as dispersion among those opponent means, alongside the included-pairing count and team-meeting support.

02 / Calculation

Range = max over opponents of mean(row-team points + opponent points per meeting) - min over opponents of that same mean. Meeting-weighted mean = sum(n_i * mean_total_i) / sum(n_i). Between-opponent mean-total SD = sqrt(sum(n_i * (mean_total_i - meeting-weighted mean)^2) / sum(n_i)); this is a population descriptive denominator with no sample correction. Meetings across pairings = sum(n_i) over included opponent rows.

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

30 teams derived from the 3611-game input corpus across 2023-24, 2024-25, 2025-26; latest input date 2026-04-12. Each endpoint uses at least 2 meetings. Team names come separately from atlas_nba_teams_manifest and do not affect matchup values or dates.

These are extrema among opponent means, so the range is selection-sensitive. Seasons and venues are pooled, with no published regular-season or playoff filter; rosters, opponent strength and recency are not adjusted. Team points are reconstructed by summing source player box-score points, without a published completeness audit. Pair means are serialized to two decimals, so weighted results approximate calculations from full raw precision. The between-opponent SD describes differences among included pair means; within-pair variation is not published. Meeting support is a sum of team-meetings across included pairings, not independent observations; adding it across teams counts the same games twice. Endpoint meeting counts differ. The latest input date is not a per-pair cutoff. This describes prior games and is not a forecast.

04 / Source & method references

Published source JSON Published NBA matchup-grid method Published NBA team-name atlas

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