Daily per-metro panel of NHL + MLB home games (US + Canada, ~40 metros): game counts by kind (regular/postseason/preseason), 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 collected from the leagues' public first-party JSON endpoints (no login, key or clickwrap) -> commercial_use=yes with attribution.

Source: North American pro-sports home-game calendar (NHL + MLB)
Rows: 8,339
Columns: 18
Source cadence: Weekly
Last refreshed: Sep 29, 2026
Theme: economy

Column	Type	Description
date	date	Game date (venue-local calendar date), ISO YYYY-MM-DD.
metro	string	Metro area of the home team's venue.
metro_state_prov	string	State (US) or province (CA) of the metro.
country_code	string	ISO alpha-3 country code (USA/CAN).
leagues	string	Comma-joined leagues with a home game (MLB,NHL).
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_preseason	integer	Preseason/spring-training home games.
n_allstar	integer	All-Star home 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, 30n_home_games + 25n_postseason + 10is_weekend + 10multi_league + 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_preseason	is_weekend	marquee_event	games_trailing_7d	event_demand_score	demand_rank	demand_tier	row_hash
2025-02-20	Los Angeles	CA	USA	MLB	LAD	1	1	false	false	1	33	1	2	7489ec8f1bddb6d2
2025-02-21	Boston	MA	USA	MLB	BOS	1	1	true	false	1	43	1	2	416e8dae3b882382
2025-02-21	Chicago	IL	USA	MLB	CHC	1	1	true	false	1	43	2	2	34c2c38aba15edf3
2025-02-21	Kansas City	MO	USA	MLB	KC	1	1	true	false	1	43	3	2	800c7633df07a8e6
2025-02-21	New York	NY	USA	MLB	NYY	1	1	true	false	1	43	4	2	ebc069cd453c3d0d
2025-02-21	Phoenix	AZ	USA	MLB	ARI	1	1	true	false	1	43	5	2	767c3b9b410d2f72
2025-02-21	San Diego	CA	USA	MLB	SD	1	1	true	false	1	43	6	2	4f91f24d6dca06ff
2025-02-22	Baltimore	MD	USA	MLB	BAL	1	1	true	false	1	43	5	2	9feac186c8963ce5
2025-02-22	Chicago	IL	USA	MLB	CHC	1	1	true	false	2	46	2	2	930a65fe12c01798
2025-02-22	Cincinnati	OH	USA	MLB	CIN	1	1	true	false	1	43	6	2	6222dc109efc6bab

Sep 29, 2026Current
20260929T061021Z-b27a619fceb8 · sha256 b27a619fceb8…
8,339 rows · first snapshot

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/pro_sports_event_intel/na_pro_sports_home_games_daily" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/pro_sports_event_intel/na_pro_sports_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/pro_sports_event_intel/na_pro_sports_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 20260929T061021Z-b27a619fceb8 and its content hash, so readers get exactly the data you used.

APA

North American pro-sports home-game calendar (NHL + MLB). (2026). North American pro-sports home-game event calendar [Data set, snapshot 20260929T061021Z-b27a619fceb8, sha256 b27a619fceb8]. Datazimuts. Retrieved 2026-09-30, from https://datazimuts.com/en/datasets/pro_sports_event_intel/na_pro_sports_home_games_daily?snapshot=20260929T061021Z-b27a619fceb8

BibTeX

@misc{dz_pro_sports_event_intel_na_pro_sports_hom_b27a619f,
  title        = {{North American pro-sports home-game event calendar}},
  author       = {{North American pro-sports home-game calendar (NHL + MLB)}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/pro_sports_event_intel/na_pro_sports_home_games_daily?snapshot=20260929T061021Z-b27a619fceb8}},
  note         = {Snapshot 20260929T061021Z-b27a619fceb8, sha256 b27a619fceb8bfbe79bf4f4b6e63058f0cd53405f61617f2d0daaabde398516a; accessed 2026-09-30}
}

Embed a table or a chart

Paste this into any page. The embed is pinned to the same snapshot, follows the reader's light or dark setting, and always shows the source, license and a link back.

Type

X axis

Value

Aggregate

Theme

HTML

<iframe src="https://datazimuts.com/embed/chart?dataset=pro_sports_event_intel%2Fna_pro_sports_home_games_daily&lang=en&theme=auto&snapshot=20260929T061021Z-b27a619fceb8&x=date&y=n_home_games&agg=avg" title="North American pro-sports home-game event calendar" width="100%" height="380" style="border:0" loading="lazy"></iframe>

Sign in to comment

Ask about this dataset. Answers come only from its catalog record, measured profile and change history, and list the facts they used.

North American pro-sports home-game event calendar

Follow this dataset

Cite this snapshot

Embed a table or a chart

Use your own AI key