NBA home-game demand calendar (2025-27 seasons)
Daily per-metro panel of NBA home games (29 US metros + Toronto, 30 teams, 2025-26 season incl. playoffs + 2026-27 season in progress): game counts by kind (regular/postseason), divisional-rivalry / primetime counts, mean rest edge, Friday/Saturday weekend and marquee-playoff flags, trailing-7d event density, a documented 0-100 local event-demand score, per-date cross-metro demand ranks and tiers. Join on date + metro to orders, bookings or foot traffic. Game dates/teams/venues are facts from ESPN's public schedule API (no login, key or clickwrap) -> commercial_use=yes with attribution.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 2 469
- Colonnes
- 19
- Cadence de la source
- Hebdomadaire
- Dernière actualisation
- 1 oct. 2026
- Thème
- economy
| Colonne | Type | Description |
|---|---|---|
| date | date | Game date in the venue metro's local timezone, ISO. |
| metro | string | Metro area of the home team's arena. |
| metro_state_prov | string | State/province of the metro. |
| country_code | string | ISO alpha-3 country code (USA/CAN). |
| leagues | string | League with a home game (always NBA). |
| home_teams | string | Comma-joined home-team abbreviations. |
| n_home_games | integer | Home games in the metro on this date. |
| n_regular | integer | Regular-season home games. |
| n_postseason | integer | Postseason home games. |
| n_div_game | integer | Divisional-rivalry home games. |
| n_primetime | integer | Home games tipping off at/after 20:00 ET (national night window). |
| mean_rest_edge_days | float | Mean (home_rest - away_rest) in days across the metro's games; rest is days between a team's consecutive games in the same season block minus 1, block openers count 0. |
| is_weekend | boolean | True for Friday/Saturday game nights. |
| marquee_event | boolean | True if any postseason home game. |
| games_trailing_7d | integer | Home games in the metro over [date-6d, date]. |
| event_demand_score | integer | 0-100 local demand score = min(100, 25*n_home_games + 30*n_postseason + 10*is_weekend + 5*n_div_game + min(15, 3*games_trailing_7d)). |
| demand_rank | integer | Per-date cross-metro rank (1 = highest score). |
| demand_tier | integer | Fixed-cut tier: 4 if score>=75, 3 if >=50, 2 if >=25, else 1. |
| row_hash | string | md5(date|metro|n_home_games|leagues|home_teams|score)[:16]. |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| date | metro | metro_state_prov | country_code | leagues | home_teams | n_home_games | n_regular | n_postseason | n_div_game | n_primetime | mean_rest_edge_days | is_weekend | marquee_event | games_trailing_7d | event_demand_score | demand_rank | demand_tier | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-21 | Los Angeles | CA | USA | NBA | LAL | 1 | 1 | 0 | 1 | 1 | 0 | false | false | 1 | 33 | 1 | 2 | 43937375ecad27b0 |
| 2025-10-21 | Oklahoma City | OK | USA | NBA | OKC | 1 | 1 | 0 | 0 | 0 | 0 | false | false | 1 | 28 | 2 | 2 | 2df46d3bda5d0e2d |
| 2025-10-22 | Atlanta | GA | USA | NBA | ATL | 1 | 1 | 0 | 0 | 0 | 0 | false | false | 1 | 28 | 8 | 2 | d249f6a6917061e2 |
| 2025-10-22 | Boston | MA | USA | NBA | BOS | 1 | 1 | 0 | 1 | 0 | 0 | false | false | 1 | 33 | 1 | 2 | 405d685cba207789 |
| 2025-10-22 | Charlotte | NC | USA | NBA | CHA | 1 | 1 | 0 | 0 | 0 | 0 | false | false | 1 | 28 | 9 | 2 | 64f985980d19c4ef |
| 2025-10-22 | Chicago | IL | USA | NBA | CHI | 1 | 1 | 0 | 1 | 1 | 0 | false | false | 1 | 33 | 2 | 2 | ff68030c59d04f93 |
| 2025-10-22 | Dallas | TX | USA | NBA | DAL | 1 | 1 | 0 | 1 | 1 | 0 | false | false | 1 | 33 | 3 | 2 | aa7f9d80f561f632 |
| 2025-10-22 | Memphis | TN | USA | NBA | MEM | 1 | 1 | 0 | 1 | 1 | 0 | false | false | 1 | 33 | 4 | 2 | 2facc2429e467da3 |
| 2025-10-22 | Milwaukee | WI | USA | NBA | MIL | 1 | 1 | 0 | 0 | 1 | 0 | false | false | 1 | 28 | 10 | 2 | 07d48af89545338c |
| 2025-10-22 | New York | NY | USA | NBA | NY | 1 | 1 | 0 | 0 | 0 | 0 | false | false | 1 | 28 | 11 | 2 | e5ef5c0049bcbb4e |
Profilé le 1 oct. 2026 à partir de l’instantané 20261001T180830Z-98da8b280401
Mesuré- Complétude
- 100 %
- Lignes
- 2 469
- Colonnes
- 19
- Colonnes incomplètes
- 0
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| datedate | 0 % | 416 | 21 oct. 2025 → 11 avr. 2027 | — |
| metrovarchar | 0 % | 32 | — |
|
| metro_state_provvarchar | 0 % | 24 | — |
|
| country_codevarchar | 0 % | 2 | — |
|
| leaguesvarchar | 0 % | 1 | — |
|
| home_teamsvarchar | 0 % | 28 | — |
|
| n_home_gamesbigint | 0 % | 2 | 1 → 2médiane 1 | |
| n_regularbigint | 0 % | 3 | 0 → 2médiane 1 | |
| n_postseasonbigint | 0 % | 2 | 0 → 1médiane 0 | |
| n_div_gamebigint | 0 % | 3 | 0 → 2médiane 0 | 2 hors du 1er–99e centile |
| n_primetimebigint | 0 % | 3 | 0 → 2médiane 1 | 20 hors du 1er–99e centile |
| mean_rest_edge_daysdouble | 0 % | 191 | -165 → 22médiane 1 | 43 hors du 1er–99e centile |
| is_weekendboolean | 0 % | 2 | — |
|
| marquee_eventboolean | 0 % | 2 | — |
|
| games_trailing_7dbigint | 0 % | 9 | 1 → 8médiane 2 | 12 hors du 1er–99e centile |
| event_demand_scorebigint | 0 % | 46 | 28 → 80médiane 36 | 24 hors du 1er–99e centile |
| demand_rankbigint | 0 % | 17 | 1 → 15médiane 4 | 18 hors du 1er–99e centile |
| demand_tierbigint | 0 % | 3 | 2 → 4médiane 2 | 7 hors du 1er–99e centile |
| row_hashvarchar | 0 % | 2 085 | — |
|
- Actuelle
20261001T180830Z-98da8b280401 · sha256 98da8b280401…
2 469 lignes · premier instantané
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/nba_home_game_intel/na_nba_home_games_daily" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/nba_home_game_intel/na_nba_home_games_daily").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)Point d’accès API : https://datazimuts.com/v1/datasets/nba_home_game_intel/na_nba_home_games_daily
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
D’où viennent ces données et ce qui en a été fait. Le travail des autres apparaît sous forme de décomptes ; seuls les projets partagés sont nommés.
Citer cet instantané
Épinglé à l’instantané 20261001T180830Z-98da8b280401 et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
NBA home-game demand calendar (ESPN). (2026). NBA home-game demand calendar (2025-27 seasons) [Data set, snapshot 20261001T180830Z-98da8b280401, sha256 98da8b280401]. Datazimuts. Retrieved 2026-10-02, from https://datazimuts.com/fr/datasets/nba_home_game_intel/na_nba_home_games_daily?snapshot=20261001T180830Z-98da8b280401
@misc{dz_nba_home_game_intel_na_nba_home_games_da_98da8b28,
title = {{NBA home-game demand calendar (2025-27 seasons)}},
author = {{NBA home-game demand calendar (ESPN)}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/nba_home_game_intel/na_nba_home_games_daily?snapshot=20261001T180830Z-98da8b280401}},
note = {Snapshot 20261001T180830Z-98da8b280401, sha256 98da8b28040162726480d22f3a444cb2478a7af291facc1839acf231d41647ea; accessed 2026-10-02}
}Intégrer un tableau ou un graphique
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<iframe src="https://datazimuts.com/embed/chart?dataset=nba_home_game_intel%2Fna_nba_home_games_daily&lang=fr&theme=auto&snapshot=20261001T180830Z-98da8b280401&x=date&y=n_home_games&agg=avg" title="NBA home-game demand calendar (2025-27 seasons)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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