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Sports Match Results (JSON)

The full round of match results behind the league table — home/away teams, scores, and dates as a JSON array. A fixture for testing sports-data importers and standings calculators.

Preview — first 50 linesjson
[
  {
    "match_id": "M001",
    "date": "2026-01-11",
    "home": "Red Lions",
    "away": "Blue Hawks",
    "home_score": 4,
    "away_score": 3
  },
  {
    "match_id": "M002",
    "date": "2026-01-12",
    "home": "Red Lions",
    "away": "Green Wolves",
    "home_score": 4,
    "away_score": 2
  },
  {
    "match_id": "M003",
    "date": "2026-01-13",
    "home": "Red Lions",
    "away": "Gold Eagles",
    "home_score": 1,
    "away_score": 2
  },
  {
    "match_id": "M004",
    "date": "2026-01-14",
    "home": "Red Lions",
    "away": "Silver Sharks",
    "home_score": 0,
    "away_score": 2
  },
  {
    "match_id": "M005",
    "date": "2026-01-15",
    "home": "Red Lions",
    "away": "Black Bears",
    "home_score": 3,
    "away_score": 3
  },
  {
    "match_id": "M006",
    "date": "2026-01-16",
    "home": "Red Lions",
    "away": "White Tigers",
    "home_score": 1,
    "away_score": 2
  },
  {
363 lines total — download for the full file.

Specifications

Matches
45
Schema
match_id, date, home, away, home_score, away_score
Domain
sports

What is a .json file?

JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.

How to use this file

Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.

Code examples

import json

with open("results.json") as f:
    data = json.load(f)
print(type(data), len(data))

Generated by generation/data_domains.py. Free for any use, no attribution required — license.