pysofascore

Disclaimer / Отказ от ответственности

This project and library is created and used exclusively for educational and research purposes. It is not intended for commercial use, automated data collection at scale, or any activity that violates SofaScore's Terms of Service. The project is not actively maintained — use at your own risk.

Данный проект и библиотека созданы и используются исключительно в познавательных (educational) целях. Проект не предназначен для коммерческого использования или массового автоматизированного сбора данных. Проект не поддерживается на постоянной основе.

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Python library for SofaScore data extraction — matches, live scores, statistics, xG, lineups and more.

Built on top of scrapling — uses curl_cffi with Chrome TLS fingerprint impersonation to bypass SofaScore anti-bot protection. No browser binary required.

Installation

pip install pysofascore

That's it. No browser downloads needed.

Quick Start

from sofascore_api import SofaScoreClient

client = SofaScoreClient()

# Get all football categories (countries)
categories = client.get_categories("football")
for cat in categories[:5]:
    print(f"{cat['id']}: {cat['name']}")

# Get today's matches
events = client.get_events_today("football")
print(f"\nToday: {len(events)} matches")

# Get live matches
live = client.get_live_events("football")
for ev in live[:5]:
    home = ev["homeTeam"]["name"]
    away = ev["awayTeam"]["name"]
    hs = ev.get("homeScore", {}).get("current", "?")
    as_ = ev.get("awayScore", {}).get("current", "?")
    print(f"  LIVE: {home} {hs} - {as_} {away}")

client.close()

Or use as a context manager:

with SofaScoreClient() as client:
    events = client.get_events_today()

Features

Categories & Sports

# All categories for a sport
categories = client.get_categories("football")
categories = client.get_all_categories("basketball")

# Tournaments within a category (country)
tournaments = client.get_category_tournaments(category_id=1)  # England

Matches by Date

# Specific date
events = client.get_events_by_date("football", "2026-04-07")

# Today
events = client.get_events_today("football")

# Next 7 days (returns {date: [events]})
week = client.get_events_week("football")

# Next 30 days
month = client.get_events_month("football")

# Custom range
events = client.get_events_range("football", start="2026-04-01", end="2026-04-15")

Live Matches

live = client.get_live_events("football")
tournaments = client.get_live_tournaments("football")

Match Statistics & xG

event_id = 13981725

# Full statistics (possession, shots, corners, xG, etc.)
stats = client.get_event_statistics(event_id)

# Shot map with per-shot xG and xGOT
shotmap = client.get_event_shotmap(event_id)
for shot in shotmap:
    print(f"{shot['player']['name']}: xG={shot['xg']:.3f}, type={shot['shotType']}")

# Match incidents (goals, cards, substitutions)
incidents = client.get_event_incidents(event_id)

# Lineups
lineups = client.get_event_lineups(event_id)

# Momentum graph
graph = client.get_event_graph(event_id)

# Head-to-head
h2h = client.get_event_h2h(event_id)

# Best players
best = client.get_event_best_players(event_id)

Search

results = client.search("Barcelona")

Tournaments

seasons = client.get_tournament_seasons(17)  # Premier League
standings = client.get_tournament_standings(17, season_id=76986)
top_scorers = client.get_tournament_top_players(17, season_id=76986, kind="goals")

Teams & Players

team = client.get_team(2817)               # Barcelona
players = client.get_team_players(2817)
recent = client.get_team_events(2817, direction="last")

player = client.get_player(284363)
transfers = client.get_player_transfer_history(284363)
heatmap = client.get_player_heatmap(284363, event_id=13981725)

Proxy Support

# HTTP proxy
client = SofaScoreClient(proxy="http://user:pass@proxy.example.com:8080")

# SOCKS5 proxy
client = SofaScoreClient(proxy="socks5://proxy.example.com:1080")

Configuration

client = SofaScoreClient(
    proxy=None,        # Proxy URL
    timeout=15,        # Request timeout in seconds
    retries=3,         # Retry attempts on 403/network errors
    retry_delay=2.0,   # Initial delay between retries (doubles each attempt)
)

How It Works

SofaScore protects their API with anti-bot measures (Cloudflare, TLS fingerprinting). Regular HTTP libraries like requests or httpx get blocked with 403.

This library uses curl_cffi (the same engine that powers scrapling's Fetcher) to:

1. Impersonate Chrome's TLS fingerprint (JA3/JA4, cipher suites, ALPN)
2. Send browser-like headers (Referer, Origin, Accept)
3. Automatically retry on 403 with exponential backoff
4. Return parsed JSON responses

No browser binary, no Selenium, no Playwright — just HTTP with the right fingerprint.

Supported Sports

football, basketball, tennis, ice-hockey, table-tennis, baseball, handball, american-football, volleyball, darts, esports, mma, motorsport, cricket, rugby, futsal, waterpolo, snooker, cycling, badminton

License

MIT