sportsfootballsoccerFIFAinternationalsports-analyticsworld-cuphistorical

International Football Match Results

1872–March 2026

Free

Open dataset

Sample structure: 100 / 100
50 download links issued
Seller: waseemahmad
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Category
Sports
Records
49,215 rows
Format
CSV
Update Frequency
Not documented
Collection Method
uploaded
PII
No flagged field names; not a privacy audit
Download links issued
50

Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License
Not documented — confirm reuse terms with the seller
Source / creator
Not documented
Collection method
Supplier description: 20 columns across 49,215 rows. Sourced from publicly available international football records, enriched with confederation mappings, tournament tier classifications, and computed analytics fields. Ideal for sports analytics, historical trend analysis, prediction modeling, and FIFA ranking research.
Coverage / snapshot
1872–March 2026
Data last updated
Not documented
Update schedule
Not documented

Sample structure score: 100 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

CheckPointsEvidence
Populated cells50 / 50200 of 200 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types30 / 30200 of 200 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape20 / 2010 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.
Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

FieldMissing cellsMost common typeOther populated types
date0 / 10string0 / 10
year0 / 10number0 / 10
decade0 / 10string0 / 10
month0 / 10number0 / 10
home_team0 / 10string0 / 10
away_team0 / 10string0 / 10
home_score0 / 10number0 / 10
away_score0 / 10number0 / 10
total_goals0 / 10number0 / 10
goal_difference0 / 10number0 / 10
result0 / 10string0 / 10
tournament0 / 10string0 / 10
tournament_tier0 / 10string0 / 10
city0 / 10string0 / 10
country0 / 10string0 / 10
neutral_venue0 / 10boolean0 / 10
home_confederation0 / 10string0 / 10
away_confederation0 / 10string0 / 10
match_type0 / 10string0 / 10
penalty_shootout0 / 10string0 / 10
How the score is calculated, its limitations, and how to correct an assessment →

About this data

49,215 international soccer match results spanning 150+ years across 333 national teams and 193 tournaments. Each record includes match date, teams, scores, tournament tier, venue, confederation, and penalty indicator. Sourced from public records with added confederation mappings and computed analytics fields.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example
python3 retrieve-dataset.py e9f0cefb-7269-4468-a779-f9cb047fc75c --output dataset.bin
Full supplier documentation
Original supplier listing: International Football Match Results (1872–2026) A benchmark dataset of 49,215 international football (soccer) match results spanning over 150 years, from the first official match (Scotland vs England, 1872) through March 2026. Covers 333 national teams across 193 tournaments in every FIFA confederation. Each record includes: match date, year, decade, month, home and away teams, scores, total goals, goal difference, match result (home win/away win/draw), tournament name, tournament tier classification (Major Tournament, World Cup Qualifier, Continental Qualifier, Continental League, Friendly, Other Competition), venue city and country, neutral venue indicator, FIFA confederation for both teams (UEFA/CONMEBOL/CONCACAF/CAF/AFC/OFC), inter- vs intra-confederation match type, and penalty shootout indicator. 20 columns across 49,215 rows. Sourced from publicly available international football records, enriched with confederation mappings, tournament tier classifications, and computed analytics fields. Ideal for sports analytics, historical trend analysis, prediction modeling, and FIFA ranking research.

Schema

NameTypeDescription
datestring
yearstring
decadestring
monthstring
home_teamstring
away_teamstring
home_scorestring
away_scorestring
total_goalsstring
goal_differencestring
resultstring
tournamentstring
tournament_tierstring
citystring
countrystring
neutral_venuestring
home_confederationstring
away_confederationstring
match_typestring
penalty_shootoutstring

Sample Data

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For AI Agents

Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "International Football Match R" })
// Found: e9f0cefb-7269-4468-a779-f9cb047fc75c
get_download_url({ dataset_id: "e9f0cefb-7269-4468-a779-f9cb047fc75c" })  // free — sign in with MCP OAuth first
Via REST API
# Free dataset — sign in or use your account API key:
curl https://api.databazaar.io/datasets/e9f0cefb-7269-4468-a779-f9cb047fc75c/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"