Football Charts

Transparent football (soccer) statistics and model predictions across 90+ leagues: league tables (classic, luck-adjusted, goals-based), results, fixtures with model probabilities, Dixon-Coles match probabilities, Monte Carlo season projections, goal-timing distributions, team match logs, and a public prediction track record. A single Dixon-Coles scoreline model produces one joint distribution per match, so 1X2, over/under and BTTS probabilities are mutually consistent by construction; season outcomes come from 10,000-run Monte Carlo simulations re-run daily. Every model signal is logged before kickoff and settled publicly. Offers a free read-only REST API with a self-describing JSON descriptor and a hosted MCP server whose tools/list is answerable anonymously.

Football Charts is listed with 2 APIs on the APIs.io network. Tagged areas include Football, Soccer, Sports, Sports Data, and Statistics.

Football Charts’ developer surface includes engineering blog, documentation, API reference, getting-started guide, signup flow, pricing, support, and 19 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

37.1/100 thin ▬ flat Agent 17/100 agent aware Front door AI 2/6 trace saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemiumSelf serve⚡ Free to try

2 APIs 1 MCP Servers 3 Agent Skills

Football Soccer Sports Sports Data Statistics Results Standings Fixtures Predictionsprobability-modelsmonte-carloMCP Agent-Native Free API

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 37.1/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 10.0 / 17

Access Clarity 11.2 / 17

Operational Transparency 2.9 / 11

Contract Governance 0.5 / 10

Discoverability 5.8 / 9

Regulatory Posture 3.7 / 15

Agent readiness — 17/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document

8 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Contract Governance scores 4.5 — up to +11.5 composite points
Operational Transparency scores 26.3 — up to +9.6 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/football-charts/apis.yml: open an issue on github.com/api-evangelist/football-charts to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Football Technology and Sports Data (FIFA Quality Programme)	undeclared	-	1	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

APIs 2

Individual APIs this provider publishes, each with its own machine-readable definition.

Football Charts REST API

Free read-only REST API for football statistics, standings, results, fixtures, match probabilities, season projections, goal timing, and prediction track record. Bearer API key ...

Football Charts MCP Server

Hosted MCP server (protocol 2025-06-18) exposing ten read-only football statistics tools (list_leagues, get_league_table, get_rankings, get_results, get_fixtures, get_match, get...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Football Charts MCP Server

MCP SERVER

Agent Skills 3

Packaged agent skills for driving this provider's APIs from an AI assistant.

Read a Football Charts league table

AGENT SKILL

Get Football Charts match probabilities

AGENT SKILL

Project a Football Charts season and check the model's record

AGENT SKILL

Football Charts API pricing

Prices published by Football Charts. A free plan or tier is listed.

Plan	Price
Free	Free
Paid	—

Plan details, limits and sources →

Rate limits

: 5000 1d
: 60 1m

Rate-limit details →

Pricing Plans 1

Published pricing tiers and plan structures.

Football Charts Plans Pricing

2 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Football Charts Rate Limits

2 limits

RATE LIMITS

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Football Charts Authentication

apiKey · 4 schemes

SECURITY

Football Charts Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

AgentSkill

AgentSkill

LLMsTxt

LLMsTxt

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

Lifecycle

Conformance

DataModel

Build 3

SDKs, sample code, and the tooling you integrate with

SourceCode

SourceCode

ToolCrosswalk

ToolCrosswalk

Packages

Packages

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

RateLimits

RateLimits

Commercial 4

Pricing, plans, and the legal terms of use

Pricing

TermsOfService

PrivacyPolicy

Plans

Company 2

The organization behind the API

Blog

Blog

Website

Website

Source (apis.yml)

name: Football Charts
description: 'Transparent football (soccer) statistics and model predictions across 90+ leagues: league tables (classic, luck-adjusted,
  goals-based), results, fixtures with model probabilities, Dixon-Coles match probabilities, Monte Carlo season projections,
  goal-timing distributions, team match logs, and a public prediction track record. A single Dixon-Coles scoreline model produces
  one joint distribution per match, so 1X2, over/under and BTTS probabilities are mutually consistent by construction; season
  outcomes come from 10,000-run Monte Carlo simulations re-run daily. Every model signal is logged before kickoff and settled
  publicly. Offers a free read-only REST API with a self-describing JSON descriptor and a hosted MCP server whose tools/list
  is answerable anonymously.'
deliveryModel:
  model: saas
  license_evidence:
    not_product:
    - ddevetak/footballcharts-mcp
  open_source: unknown
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: low
  source:
  - pricing
  - repository-not-product
  generated: '2026-09-25'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Freemium · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  - rate-limits
  - security
  generated: '2026-11-06'
  method: derived
image: https://www.football-charts.com/fc_logo4.png
url: https://raw.githubusercontent.com/api-evangelist/football-charts/refs/heads/main/apis.yml
created: '2026-09-04'
modified: '2026-10-06'
specificationVersion: '0.21'
tags:
- Football
- Soccer
- Sports
- Sports Data
- Statistics
- Results
- Standings
- Fixtures
- Predictions
- probability-models
- monte-carlo
- MCP
- Agent-Native
- Free API
tags_raw:
- football
- soccer
- sports
- sports-data
- statistics
- results
- standings
- fixtures
- predictions
- probability-models
- monte-carlo
- mcp
- agent-native
- free-api
apis:
- name: Football Charts REST API
  description: Free read-only REST API for football statistics, standings, results, fixtures, match probabilities, season
    projections, goal timing, and prediction track record. Bearer API key auth (or X-API-Key) with a self-describing JSON
    descriptor at the root. Ten GET operations plus self-serve key registration; 5,000 requests/day and 60/minute on the free
    tier.
  image: https://www.football-charts.com/fc_logo4.png
  humanURL: https://www.football-charts.com/developers
  baseURL: https://footballcharts-backend.onrender.com/api/v1
  tags:
  - Football
  - Soccer
  - Sports
  - Sports Data
  - Statistics
  - Results
  - Standings
  - Fixtures
  - Predictions
  - probability-models
  - Free API
  tags_raw:
  - football
  - soccer
  - sports
  - sports-data
  - statistics
  - results
  - standings
  - fixtures
  - predictions
  - probability-models
  - free-api
  properties:
  - type: Documentation
    url: https://www.football-charts.com/developers
  - type: APIReference
    url: https://www.football-charts.com/developers
  - type: X-APIDescriptor
    name: Self-describing JSON API descriptor
    url: https://footballcharts-backend.onrender.com/api/v1/
  - type: Authentication
    url: authentication/football-charts-authentication.yml
  - type: ErrorCatalog
    url: errors/football-charts-problem-types.yml
  - type: DataModel
    url: data-model/football-charts-data-model.yml
- name: Football Charts MCP Server
  description: Hosted MCP server (protocol 2025-06-18) exposing ten read-only football statistics tools (list_leagues, get_league_table,
    get_rankings, get_results, get_fixtures, get_match, get_season_projection, get_team, get_goal_timing, get_track_record)
    for AI agents. tools/list answers anonymously; tool calls take the API key embedded in the URL path or via an Authorization
    header on POST /mcp. Also runnable locally as npx -y footballcharts-mcp.
  image: https://www.football-charts.com/fc_logo4.png
  humanURL: https://www.football-charts.com/developers
  baseURL: https://mcp.football-charts.com/mcp
  tags:
  - Football
  - Soccer
  - Sports Data
  - MCP
  - Agent-Native
  - Predictions
  - probability-models
  - Free API
  tags_raw:
  - football
  - soccer
  - sports-data
  - mcp
  - agent-native
  - predictions
  - probability-models
  - free-api
  properties:
  - type: MCPServer
    url: https://mcp.football-charts.com/mcp
  - type: Documentation
    url: https://www.football-charts.com/developers
  - type: SourceCode
    name: Open-source MCP server (MIT)
    url: https://github.com/ddevetak/footballcharts-mcp
  - type: ToolCrosswalk
    url: mcp/football-charts-tool-crosswalk.yml
maintainers:
- FN: Football Charts
  email: contact@football-charts.com
  url: https://www.football-charts.com
generated:
  by: apis.io/add
  model: claude-opus-4-8
  confidence: 90
  at: '2026-09-04T09:22:06.506Z'
common:
- url: https://www.football-charts.com/insights
  type: Blog
- type: Website
  url: https://www.football-charts.com
- type: DeveloperPortal
  url: https://www.football-charts.com/developers
- type: Documentation
  url: https://www.football-charts.com/developers
- type: APIReference
  url: https://www.football-charts.com/developers
- type: GettingStarted
  url: https://www.football-charts.com/developers
- type: SignUp
  name: Free API key registration form
  url: https://www.football-charts.com/developers
- type: Pricing
  name: Free vs paid tiers
  url: https://www.football-charts.com/developers
- type: TermsOfService
  name: API terms (attribution required, no resale)
  url: https://www.football-charts.com/developers
- type: PrivacyPolicy
  url: https://www.football-charts.com/privacy
- type: Support
  name: About & contact
  url: https://www.football-charts.com/about
- type: SourceCode
  name: footballcharts-mcp (MIT)
  url: https://github.com/ddevetak/footballcharts-mcp
- type: MCPServer
  url: mcp/football-charts-mcp.yml
- type: ToolCrosswalk
  url: mcp/football-charts-tool-crosswalk.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/football-charts-llms.txt
- type: Packages
  url: packages/football-charts-packages.yml
- type: Authentication
  url: authentication/football-charts-authentication.yml
- type: Conventions
  url: conventions/football-charts-conventions.yml
- type: ErrorCatalog
  url: errors/football-charts-problem-types.yml
- type: Lifecycle
  url: lifecycle/football-charts-lifecycle.yml
- type: Conformance
  url: conformance/football-charts-conformance.yml
- type: DataModel
  url: data-model/football-charts-data-model.yml
- type: Plans
  url: plans/football-charts-plans-pricing.yml
- type: RateLimits
  url: rate-limits/football-charts-rate-limits.yml
- type: DomainSecurity
  url: security/football-charts-domain-security.yml
x-enrichment:
  date: '2026-09-04'
  status: enriched
  artifacts_added: 20
  pass: local-v3

Football Charts API — frequently asked questions

Does Football Charts have an API?

Yes. APIs.io lists 2 APIs from Football Charts, including Football Charts REST API and Football Charts MCP Server.

How do I authenticate with the Football Charts API?

Football Charts uses bearer-token authentication (apiKey · 4 schemes). The details are profiled on APIs.io as Football Charts Authentication.

How much does the Football Charts API cost?

APIs.io lists 2 pricing plans for Football Charts, with each plan's price, limits and inclusions under Pricing on this page.

Does Football Charts have an MCP server?

Yes. APIs.io lists 1 MCP server for Football Charts.

Is the Football Charts API ready for AI agents?

Football Charts has a Kin Score of 37.1 out of 100 (thin) and an Agent Readiness score of 17.4 (agent-aware), scored by API Evangelist on 2026-11-06.

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