NFL home-game demand calendar (2025-26 seasons)
Daily per-metro panel of NFL home games (30 US metros, 32 teams, 2025 season incl. postseason + 2026 season in progress): game counts by kind (regular/postseason), divisional-rivalry / primetime / close-game 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 nflverse's public schedule release (no login, key or clickwrap) -> commercial_use=yes with attribution.
- Rows
- 541
- Columns
- 20
- Source cadence
- Weekly
- Last refreshed
- Oct 1, 2026
- Theme
- economy
| Column | Type | Description |
|---|---|---|
| date | date | Game date, ISO YYYY-MM-DD. |
| metro | string | Metro area of the home team's stadium. |
| metro_state_prov | string | State of the metro. |
| country_code | string | ISO alpha-3 country code (USA). |
| leagues | string | League with a home game (always NFL). |
| 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 kicking off at/after 20:00 ET (nationally televised night window). |
| n_close_games | integer | Home games with |spread_line| <= 3 (consensus close matchup); future games without a published line count as not close. |
| mean_rest_edge_days | float | Mean (home_rest - away_rest) in days across the metro's games. |
| 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, 30*n_home_games + 25*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]. |
First 10 sample rows — a preview, not the complete dataset.
| date | metro | metro_state_prov | country_code | leagues | home_teams | n_home_games | n_regular | n_postseason | n_div_game | n_primetime | n_close_games | mean_rest_edge_days | is_weekend | marquee_event | games_trailing_7d | event_demand_score | demand_rank | demand_tier | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-09-04 | Philadelphia | PA | USA | NFL | PHI | 1 | 1 | 0 | 1 | 1 | 0 | 0 | false | false | 1 | 38 | 1 | 2 | ebfa43ed5fb19d35 |
| 2025-09-07 | Atlanta | GA | USA | NFL | ATL | 1 | 1 | 0 | 1 | 0 | 1 | 0 | false | false | 1 | 38 | 1 | 2 | bf8c1f17013e2143 |
| 2025-09-07 | Boston | MA | USA | NFL | NE | 1 | 1 | 0 | 0 | 0 | 1 | 0 | false | false | 1 | 33 | 6 | 2 | ed58a0ec1cb0e2f1 |
| 2025-09-07 | Buffalo | NY | USA | NFL | BUF | 1 | 1 | 0 | 0 | 1 | 1 | 0 | false | false | 1 | 33 | 7 | 2 | 763c1c879a3ad9c6 |
| 2025-09-07 | Cleveland | OH | USA | NFL | CLE | 1 | 1 | 0 | 1 | 0 | 0 | 0 | false | false | 1 | 38 | 2 | 2 | e0ef29e079c61c3a |
| 2025-09-07 | Denver | CO | USA | NFL | DEN | 1 | 1 | 0 | 0 | 0 | 0 | 0 | false | false | 1 | 33 | 8 | 2 | 3112d743dc589c03 |
| 2025-09-07 | Green Bay | WI | USA | NFL | GB | 1 | 1 | 0 | 1 | 0 | 1 | 0 | false | false | 1 | 38 | 3 | 2 | 532278fbd5f56119 |
| 2025-09-07 | Indianapolis | IN | USA | NFL | IND | 1 | 1 | 0 | 0 | 0 | 1 | 0 | false | false | 1 | 33 | 9 | 2 | 21180ec7bad7c1e3 |
| 2025-09-07 | Jacksonville | FL | USA | NFL | JAX | 1 | 1 | 0 | 0 | 0 | 0 | 0 | false | false | 1 | 33 | 10 | 2 | 952fac4b103ad249 |
| 2025-09-07 | Los Angeles | CA | USA | NFL | LA | 1 | 1 | 0 | 0 | 0 | 0 | 0 | false | false | 1 | 33 | 11 | 2 | 20d962d3c5d28a7f |
Profiled Oct 1, 2026 from snapshot 20261001T104615Z-8abad992a3fc
Measured- Completeness
- 100%
- Rows
- 541
- Columns
- 20
- Columns with gaps
- 0
| Column | Missing | Distinct | Range | Distribution |
|---|---|---|---|---|
| datedate | 0% | 108 | Sep 4, 2025 → Jan 10, 2027 | — |
| metrovarchar | 0% | 30 | — |
|
| metro_state_provvarchar | 0% | 24 | — |
|
| country_codevarchar | 0% | 1 | — |
|
| leaguesvarchar | 0% | 1 | — |
|
| home_teamsvarchar | 0% | 35 | — |
|
| n_home_gamesbigint | 0% | 1 | 1 → 1median 1 | |
| n_regularbigint | 0% | 2 | 0 → 1median 1 | |
| n_postseasonbigint | 0% | 2 | 0 → 1median 0 | |
| n_div_gamebigint | 0% | 2 | 0 → 1median 0 | |
| n_primetimebigint | 0% | 2 | 0 → 1median 0 | |
| n_close_gamesbigint | 0% | 2 | 0 → 1median 0 | |
| mean_rest_edge_daysdouble | 0% | 15 | -7 → 8median 0 | 1 outside 1st–99th percentile |
| is_weekendboolean | 0% | 2 | — |
|
| marquee_eventboolean | 0% | 2 | — |
|
| games_trailing_7dbigint | 0% | 2 | 1 → 2median 1 | |
| event_demand_scorebigint | 0% | 12 | 33 → 76median 33 | 5 outside 1st–99th percentile |
| demand_rankbigint | 0% | 18 | 1 → 16median 5 | 2 outside 1st–99th percentile |
| demand_tierbigint | 0% | 3 | 2 → 4median 2 | 1 outside 1st–99th percentile |
| row_hashvarchar | 0% | 494 | — |
|
- Current
20261001T104615Z-8abad992a3fc · sha256 8abad992a3fc…
541 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/nfl_home_game_intel/na_nfl_home_games_daily" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/nfl_home_game_intel/na_nfl_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)API endpoint: https://datazimuts.com/v1/datasets/nfl_home_game_intel/na_nfl_home_games_daily
Tip: fetch /llms.txt for the full machine-readable catalog.
Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.
Cite this snapshot
Pinned to snapshot 20261001T104615Z-8abad992a3fc and its content hash, so readers get exactly the data you used.
NFL home-game demand calendar (nflverse). (2026). NFL home-game demand calendar (2025-26 seasons) [Data set, snapshot 20261001T104615Z-8abad992a3fc, sha256 8abad992a3fc]. Datazimuts. Retrieved 2026-10-02, from https://datazimuts.com/en/datasets/nfl_home_game_intel/na_nfl_home_games_daily?snapshot=20261001T104615Z-8abad992a3fc
@misc{dz_nfl_home_game_intel_na_nfl_home_games_da_8abad992,
title = {{NFL home-game demand calendar (2025-26 seasons)}},
author = {{NFL home-game demand calendar (nflverse)}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/nfl_home_game_intel/na_nfl_home_games_daily?snapshot=20261001T104615Z-8abad992a3fc}},
note = {Snapshot 20261001T104615Z-8abad992a3fc, sha256 8abad992a3fcb54dfec026fc751fe90f5fc8d02433f5b261d9389a3e2a5ae085; accessed 2026-10-02}
}Embed a table or a chart
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