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.
[
{
"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
},
{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))Related files
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