fixtures

About:

Details fixtures, which is the match-up of two teams within a match

Parquet Usage

Examples assume you have run the view alias first.
Alias a View
CREATE VIEW v_fixtures AS (
    SELECT * FROM read_parquet(
        'https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/schedules/fixtures.parquet'
    )
);
Select Everything
SELECT * FROM v_fixtures;

CSV Usage

To link a CSV to your Google sheet

=importData("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/schedules/fixtures.csv")

JSON Usage

Javascript
const fixtures = await fetch("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/schedules/fixtures.json").then(r => r.json())
Python
import requests
fixtures = requests.get("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/schedules/fixtures.json").json()
C#
using (var client = new HttpClient())
{
    var json = await client.GetStringAsync("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/schedules/fixtures.json");
    var fixtures = JObject.Parse(json);
}
Ruby
require 'net/http'
require 'json'
uri = URI.parse("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/schedules/fixtures.json")
response = Net::HTTP.get_response(uri)
fixtures = JSON.parse(response.body)
R
library(jsonlite)
fixtures <- fromJSON("https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/schedules/fixtures.json")
curl
curl https://f004.backblazeb2.com/file/sprocket-artifacts/public/data/schedules/fixtures.json | jq

At a glance:

Table Schema:

column_name column_type null key default extra
as_of TIMESTAMP WITH TIME ZONE YES None None None
fixture_id BIGINT YES None None None
match_group_id BIGINT YES None None None
home VARCHAR YES None None None
away VARCHAR YES None None None

Sample Data:

as_of fixture_id match_group_id home away
2025-04-14 22:03:43.970299+00:00 1 6 Sabres Puffins
2025-04-14 22:03:43.970299+00:00 2 6 Hive Aviators
2025-04-14 22:03:43.970299+00:00 3 6 Shadow Pandas
2025-04-14 22:03:43.970299+00:00 18 6 Hawks Ducks
2025-04-14 22:03:43.970299+00:00 19 6 Knights Jets

Table Summary:

column_name column_type min max approx_unique avg std q25 q50 q75 count null_percentage
as_of TIMESTAMP WITH TIME ZONE 2025-04-14 22:03:43.970299+00 2025-04-14 22:03:43.970299+00 1 None None None None None 1956 0.0%
fixture_id BIGINT 1 9508 1970 3307.329754601227 3635.7510720562536 490 978 6186 1956 0.0%
match_group_id BIGINT 6 301 101 114.25357873210633 98.33822896609774 33 69 216 1956 0.0%
home VARCHAR Aviators Wolves 32 None None None None None 1956 0.0%
away VARCHAR Aviators Wolves 32 None None None None None 1956 0.0%

Downloads