openfootball
Skill4 starsChanged 8 months agoApache-2.0View on GitHub
openfootball (football.json) is a free, open, public domain collection of football (soccer) match data in JSON format. It covers major leagues worldwide including the English Premier League, Bundesliga, La Liga, Serie A, Ligue 1, World Cup, Euro, and Champions League. Use this skill to fetch historical and current season fixtures, results, and scores. No API key or authentication is required.
In this repository8 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 136
All files follow the same JSON schema:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
openfootball / football.json API
openfootball is a free, open, public domain collection of football (soccer) data. The football.json repository provides pre-built JSON files for major leagues and tournaments worldwide. No API key or authentication is required.
Data Sources
There are two ways to access the data:
1. Raw GitHub URLs (Primary)
https://raw.githubusercontent.com/openfootball/football.json/master/{season}/{league}.json2. GitHub Pages Mirror
https://openfootball.github.io/{country}/{season}/{league-name}.jsonRecommendation: Use the raw GitHub URLs for the
football.jsonrepo — they use a simple, consistent naming convention and are the most reliable.
URL Structure
https://raw.githubusercontent.com/openfootball/football.json/master/{season}/{code}.json| Component | Description | Examples |
{season} | Season directory — cross-year or calendar year | 2024-25, 2023-24, 2025, 2019 |
{code} | League code in {country}.{division} format | en.1, de.1, es.1, it.1, fr.1 |
Available Leagues
England
| Code | League | Tier |
en.1 | English Premier League | 1st division |
en.2 | English Championship | 2nd division |
en.3 | English League One | 3rd division |
en.4 | English League Two | 4th division |
Germany
| Code | League | Tier |
de.1 | Deutsche Bundesliga | 1st division |
de.2 | 2. Bundesliga | 2nd division |
de.3 | 3. Liga | 3rd division |
Spain
| Code | League | Tier |
es.1 | Primera División (La Liga) | 1st division |
es.2 | Segunda División | 2nd division |
Italy
| Code | League | Tier |
it.1 | Serie A | 1st division |
it.2 | Serie B | 2nd division |
France
| Code | League | Tier |
fr.1 | Ligue 1 | 1st division |
fr.2 | Ligue 2 | 2nd division |
Note: Not all leagues are available for all seasons. The
football.jsonrepo is continuously updated — check the repository for the full list of available files.
Available Seasons
Season directories in the football.json repo go back to 2010-11. European leagues use cross-year format (2024-25), while some calendar-year leagues use single-year format (2025).
| Format | Usage | Examples |
YYYY-YY | European club seasons (Aug–May) | 2024-25, 2023-24, 2015-16 |
YYYY | Calendar-year competitions | 2025, 2020, 2019 |
Known season directories: 2010-11, 2011-12, 2012-13, 2013-14, 2014-15, 2015-16, 2016-17, 2017-18, 2018-19, 2019-20, 2020-21, 2021-22, 2022-23, 2023-24, 2024-25, 2025-26, 2019, 2020, 2025.
JSON Response Format
All files follow the same JSON schema:
{
"name": "English Premier League 2024/25",
"matches": [
{
"round": "Matchday 1",
"date": "2024-08-16",
"time": "20:00",
"team1": "Manchester United FC",
"team2": "Fulham FC",
"score": {
"ht": [0, 0],
"ft": [1, 0]
}
}
]
}Top-Level Fields
| Field | Type | Description |
name | string | Human-readable league name and season |
matches | array | Array of match objects |
Match Object Fields
| Field | Type | Required | Description |
round | string | Yes | Round/matchday name (e.g., "Matchday 1", "Round of 16") |
date | string | Yes | Match date in YYYY-MM-DD format |
time | string | No | Kick-off time in HH:MM format (24-hour, local time) |
team1 | string | Yes | Home team name |
team2 | string | Yes | Away team name |
score | object | No | Score object (absent for unplayed future matches) |
status | string | No | Special status (e.g., "awarded" for administratively decided results) |
Score Object Fields
| Field | Type | Description |
ft | [int, int] | Full-time score [home, away] |
ht | [int, int] | Half-time score [home, away] (may be absent for some matches) |
Note: Some matches only have
ft(full-time) withoutht(half-time). Always check for the presence ofhtbefore accessing it.
Common Patterns
Fetch a League Season (curl)
curl -s "https://raw.githubusercontent.com/openfootball/football.json/master/2024-25/en.1.json" | jq .Fetch and Parse Match Data (Python)
import requests
url = "https://raw.githubusercontent.com/openfootball/football.json/master/2024-25/en.1.json"
data = requests.get(url).json()
print(f"League: {data['name']}")
print(f"Total matches: {len(data['matches'])}")
for match in data["matches"][:10]:
ft = match.get("score", {}).get("ft")
if ft:
print(f" {match['date']} {match['team1']} {ft[0]}-{ft[1]} {match['team2']}")
else:
print(f" {match['date']} {match['team1']} vs {match['team2']} (no score)")Build a League Table from Results (Python)
import requests
from collections import defaultdict
url = "https://raw.githubusercontent.com/openfootball/football.json/master/2024-25/en.1.json"
data = requests.get(url).json()
table = defaultdict(lambda: {"played": 0, "won": 0, "drawn": 0, "lost": 0,
"gf": 0, "ga": 0, "points": 0})
for match in data["matches"]:
score = match.get("score", {}).get("ft")
if not score:
continue
t1, t2 = match["team1"], match["team2"]
g1, g2 = score
for team, gf, ga in [(t1, g1, g2), (t2, g2, g1)]:
table[team]["played"] += 1
table[team]["gf"] += gf
table[team]["ga"] += ga
if gf > ga:
table[team]["won"] += 1
table[team]["points"] += 3
elif gf == ga:
table[team]["drawn"] += 1
table[team]["points"] += 1
else:
table[team]["lost"] += 1
# Sort by points, then goal difference
sorted_table = sorted(table.items(),
key=lambda x: (x[1]["points"], x[1]["gf"] - x[1]["ga"]),
reverse=True)
print(f"{'Team':<35} {'P':>3} {'W':>3} {'D':>3} {'L':>3} {'GF':>4} {'GA':>4} {'GD':>4} {'Pts':>4}")
print("-" * 70)
for i, (team, stats) in enumerate(sorted_table, 1):
gd = stats["gf"] - stats["ga"]
print(f"{i:>2}. {team:<32} {stats['played']:>3} {stats['won']:>3} "
f"{stats['drawn']:>3} {stats['lost']:>3} {stats['gf']:>4} "
f"{stats['ga']:>4} {gd:>+4} {stats['points']:>4}")Filter Matches by Team (Python)
import requests
url = "https://raw.githubusercontent.com/openfootball/football.json/master/2024-25/en.1.json"
data = requests.get(url).json()
team = "Arsenal FC"
matches = [m for m in data["matches"]
if team in (m["team1"], m["team2"]) and m.get("score", {}).get("ft")]
for m in matches:
ft = m["score"]["ft"]
opponent = m["team2"] if m["team1"] == team else m["team1"]
venue = "H" if m["team1"] == team else "A"
my_goals = ft[0] if m["team1"] == team else ft[1]
opp_goals = ft[1] if m["team1"] == team else ft[0]
result = "W" if my_goals > opp_goals else ("D" if my_goals == opp_goals else "L")
print(f" {m['date']} ({venue}) {result} {my_goals}-{opp_goals} vs {opponent}")Fetch Multiple Leagues (Python)
import requests
leagues = {
"Premier League": "en.1",
"Bundesliga": "de.1",
"La Liga": "es.1",
"Serie A": "it.1",
"Ligue 1": "fr.1",
}
season = "2024-25"
base = "https://raw.githubusercontent.com/openfootball/football.json/master"
for name, code in leagues.items():
url = f"{base}/{season}/{code}.json"
resp = requests.get(url)
if resp.status_code == 200:
data = resp.json()
total = len(data["matches"])
played = sum(1 for m in data["matches"] if m.get("score", {}).get("ft"))
print(f"{name}: {played}/{total} matches played")
else:
print(f"{name}: not available for {season}")Fetch and Parse (Node.js)
const url = "https://raw.githubusercontent.com/openfootball/football.json/master/2024-25/en.1.json";
const res = await fetch(url);
const data = await res.json();
console.log(`League: ${data.name}`);
console.log(`Matches: ${data.matches.length}`);
data.matches.slice(0, 10).forEach((m) => {
const ft = m.score?.ft;
if (ft) {
console.log(` ${m.date} ${m.team1} ${ft[0]}-${ft[1]} ${m.team2}`);
}
});Fetch and Parse (bash + jq)
# Get all results for a specific team
curl -s "https://raw.githubusercontent.com/openfootball/football.json/master/2024-25/en.1.json" \
| jq -r '.matches[]
| select(.team1 == "Liverpool FC" or .team2 == "Liverpool FC")
| select(.score.ft)
| "\(.date) \(.team1) \(.score.ft[0])-\(.score.ft[1]) \(.team2)"'Compare Head-to-Head Results (Python)
import requests
url = "https://raw.githubusercontent.com/openfootball/football.json/master/2024-25/en.1.json"
data = requests.get(url).json()
team_a = "Arsenal FC"
team_b = "Liverpool FC"
h2h = [m for m in data["matches"]
if {m["team1"], m["team2"]} == {team_a, team_b}
and m.get("score", {}).get("ft")]
for m in h2h:
ft = m["score"]["ft"]
ht = m["score"].get("ht", ["?", "?"])
print(f"{m['date']}: {m['team1']} {ft[0]}-{ft[1]} {m['team2']} (HT: {ht[0]}-{ht[1]})")Aggregate Stats Across Seasons (Python)
import requests
base = "https://raw.githubusercontent.com/openfootball/football.json/master"
seasons = ["2022-23", "2023-24", "2024-25"]
team = "Manchester City FC"
all_results = {"W": 0, "D": 0, "L": 0, "GF": 0, "GA": 0}
for season in seasons:
resp = requests.get(f"{base}/{season}/en.1.json")
if resp.status_code != 200:
continue
data = resp.json()
for m in data["matches"]:
ft = m.get("score", {}).get("ft")
if not ft:
continue
if m["team1"] == team:
gf, ga = ft
elif m["team2"] == team:
ga, gf = ft
else:
continue
all_results["GF"] += gf
all_results["GA"] += ga
if gf > ga:
all_results["W"] += 1
elif gf == ga:
all_results["D"] += 1
else:
all_results["L"] += 1
print(f"{team} across {', '.join(seasons)}:")
print(f" W{all_results['W']} D{all_results['D']} L{all_results['L']}")
print(f" Goals: {all_results['GF']} scored, {all_results['GA']} conceded")Find High-Scoring Matches (bash + jq)
# Find all matches with 5+ total goals in the Premier League 2024/25
curl -s "https://raw.githubusercontent.com/openfootball/football.json/master/2024-25/en.1.json" \
| jq -r '.matches[]
| select(.score.ft)
| select((.score.ft[0] + .score.ft[1]) >= 5)
| "\(.date) \(.team1) \(.score.ft[0])-\(.score.ft[1]) \(.team2) (Total: \(.score.ft[0] + .score.ft[1]))"'Get Results for a Specific Matchday (Python)
import requests
url = "https://raw.githubusercontent.com/openfootball/football.json/master/2024-25/en.1.json"
data = requests.get(url).json()
matchday = "Matchday 38"
matches = [m for m in data["matches"] if m["round"] == matchday]
print(f"--- {matchday} ---")
for m in matches:
ft = m.get("score", {}).get("ft")
if ft:
print(f" {m['date']} {m.get('time', '')} {m['team1']} {ft[0]}-{ft[1]} {m['team2']}")
else:
print(f" {m['date']} {m.get('time', '')} {m['team1']} vs {m['team2']}")Other Repositories (Source Data)
The football.json files are auto-generated from plain-text Football.TXT source files in country-specific repos:
| Repo | Content | GitHub URL |
england | EPL, Championship, League One, League Two | openfootball/england |
deutschland | Bundesliga, 2. Bundesliga, 3. Liga, DFB Pokal | openfootball/deutschland |
espana | La Liga, Segunda División | openfootball/espana |
italy | Serie A, Serie B, Coppa Italia | openfootball/italy |
france | Ligue 1, Ligue 2 | openfootball/europe (in /europe) |
worldcup | FIFA World Cup (2022, 2018, 2014, etc.) | openfootball/worldcup |
euro | Euro 2024, 2020, 2016, etc. | openfootball/euro |
champions-league | UCL & Europa League | openfootball/champions-league |
clubs | Club & stadium metadata | openfootball/clubs |
world | Leagues from N. America, Asia, Africa, Australia | openfootball/world |
Country repos also have their own GitHub Pages JSON mirrors. For example:
https://openfootball.github.io/england/2024-25/1-premierleague.jsonYou can convert Football.TXT source files to JSON yourself using the fbtxt2json CLI tool:
# Convert a single league file
fbtxt2json england/2025-26/1-premierleague.txt -o en.1.json
# Convert an entire country repo at once
fbtxt2json . -o ./_siteRate Limits
GitHub does not publish specific rate limits for raw content, but general guidelines:
| Guideline | Recommendation |
| Polling interval | ≥ 60 seconds between requests for the same file |
| Concurrent requests | Keep reasonable (< 20 concurrent) |
| Caching | Cache responses locally — data changes infrequently |
| Unauthenticated GitHub API | 60 requests/hour per IP (only applies to API endpoints, not raw content) |
Tip: Since match data doesn't change after a game is completed, you can aggressively cache historical seasons. Only poll the current season for updates.
Error Handling
| HTTP Status | Meaning | Action |
| 200 | Success | Parse the JSON |
| 404 | File not found | Check the season, league code, or URL spelling |
| 429 | Rate limited | Back off and retry after a delay |
| 5xx | Server error | Retry with exponential backoff |
Tips
- No auth needed — all data is fully public. Start fetching immediately.
- Check for
scorebefore accessing — future/unplayed matches won't have ascorefield. - Check for
htseparately — some matches haveftbut nohtdata. - Team names include suffixes — e.g.,
"Arsenal FC","Manchester United FC","Borussia Dortmund". Use exact string matching. - Team names vary by league — German teams use German names (
"FC Bayern München"), English teams use English names ("Arsenal FC"). - The
statusfield is rare — it appears on administratively decided matches (e.g.,"awarded"). - Cache aggressively — completed seasons never change. Only the current season gets updates.
- Build tables from the data — the dataset provides raw match results; you compute standings, form, H2H, etc.
- Cross-reference leagues — fetch multiple league files to compare across countries.
- Public domain (CC0) — use the data however you want with no restrictions whatsoever.
- Don't edit the JSON directly — if contributing, edit the Football.TXT source files in the country repos; JSON is auto-generated.
- Time field is local — the
timevalue represents the local kick-off time for the match venue. - Scores are
[home, away]—score.ft[0]is always theteam1(home) goals,score.ft[1]is always theteam2(away) goals.
Changelog
- 0.1.0 — Initial release with league data access, JSON schema documentation, and common usage patterns.
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