football-data

Football Charts data

With the MCP tools

• Start with list_leagues. Every other tool takes a league key such as premier, spain1 or italy3a, and most take a season string exactly as listed: 2026-2027 for winter-calendar leagues, 2026 for summer-calendar leagues such as Brazil, Sweden and Japan.
• get_league_table gives standings; get_results finished matches with half-time scores and first-goal minutes; get_fixtures upcoming matches and their slugs; get_match one match by slug; get_season_projection title, top-four and relegation probabilities; get_team one team's season; get_goal_timing goals per 15-minute period; get_track_record the model's calibration record.
• Every response carries a source_url to the matching football-charts.com page; cite it.
• The model probabilities are estimates from a baseline statistical model, not advice. The data contains no bookmaker odds.

In code (REST API)

Base URL https://footballcharts-backend.onrender.com/api/v1. JSON, read-only, and no key is needed for 300 requests a day per IP. A free key from https://www.football-charts.com/developers raises that to 5,000 a day; send it as Authorization: Bearer fc_....

import requests

BASE = "https://footballcharts-backend.onrender.com/api/v1"
r = requests.get(f"{BASE}/leagues/premier/results/", params={"team": "Liverpool"}, timeout=30)
r.raise_for_status()
for m in r.json()["matches"][-5:]:
    print(m["date"], m["homeTeam"], m["score"], m["awayTeam"], "HT", m["ht_result"])