MCP App Store
by KeenEthics
Data & Analytics
Football Charts icon

Football Charts

by Damir Devetak

Overview

Football Charts answers questions about football leagues with data: league tables, results with half-time scores, upcoming fixtures, when teams score and concede (goals by 15-minute period), team profiles, and Monte Carlo season projections (title, top-four and relegation chances). It covers 93 leagues in 42 countries, from the Premier League to lower divisions that few sources cover (Spain's Segunda RFEF groups, the Czech third tier, the English National League, Nordic, Baltic and Asian second tiers) plus women's top divisions. Data is updated daily. Read-only; no account needed. Statistics and a baseline model only: no odds, no betting advice, no player-level data. Limitations: fixtures appear once they are within a few days of kick-off; historical seasons before the previous one need an API key from football-charts.com/developers.

Tools

about_football_charts

ChatGPT
Returns a summary of the football-charts.com source: the leagues and data it covers (93 leagues, including lower divisions), what it does not hold (live scores, player data, bookmaker odds), the league-key and season-string formats, how the model probabilities are produced, and the free-tier limits. No parameters.

get_fixtures

ChatGPT
Returns the upcoming matches of one league, earliest first: kick-off date and time, teams, a match slug, and the model's calibrated probabilities (home and away win, over/under goal lines, both teams to score, half-time lines; the draw probability is 1 - home - away) with team attack and defence ratings. The probabilities come from a baseline statistical model of past results (no injuries, motivation or weather) and are not bookmaker prices.

get_goal_timing

ChatGPT
Returns goals per 15-minute period (0-15 to 90+) for every team in one league season, with each team's peak period or periods (ties are listed together), share of late goals and share of first-half goals, plus league totals and the league's most active period. team limits the result to teams whose name contains the given text.

get_league_table

ChatGPT
Returns the standings of one league season: one row per team with position, played, wins, draws, losses, goals, points and last-five form, plus expected points and a luck category (how far results run ahead of or behind the underlying performance). view='luck' orders the same rows by over- or under-performance and view='goals' by goals scored; the default orders by points. Without a season, returns the current season.

get_match

ChatGPT
Returns one match in full, identified by its slug ('country/league-slug/YYYY-MM-DD-home-vs-away', as listed in the slug field of upcoming fixtures): the complete model probability block (calibrated and raw), team ratings, first-goal-time histograms for both sides, recent form and, once played, the score, half-time score and status.

get_results

ChatGPT
Returns the finished matches of one league season in chronological order: date, teams, full-time and half-time score, first-goal minute and a goalless flag. team keeps the matches where either side's name contains the given text (case-insensitive); last=N keeps only the N most recent matches. Contains no odds.

get_season_projection

ChatGPT
Returns how one league's current season is projected to finish, from 10,000 Monte Carlo simulations refreshed daily: for each team the probabilities of winning the title, finishing in the top four and finishing in the bottom three, current points, mean final points, a 10th-90th percentile points range, a finishing-position matrix, and the change since the previous run. Covers the current season only; returns a note when no projection exists for the league yet.

get_team

ChatGPT
Returns one team's season in one league: its table row (with expected points and luck category), the full match log (date, opponent, home or away, score, half-time score, first-goal minute, outcome), goals per 15-minute period, the first-goal distribution, and season averages of match statistics (shots, shots on target, possession, corners, xG) where the league has them. team is a lower-case slug with hyphens, e.g. 'arsenal' or 'manchester-city'.

get_track_record

ChatGPT
Returns the public calibration record of the model: every probability published before kick-off and scored after the result, with count, hit rate, Brier score and reliability buckets (predicted probability against observed frequency), overall and by question type (match result, total goals over 2.5 and 3.5, half-time goals over 1.5, both teams to score), plus the 50 most recent scored predictions. Misses are included. days sets the lookback window (default 90).

list_leagues

ChatGPT
Returns every league covered (93 across 42 countries) with its league key, display name, country and the seasons available, newest first. Other tools take these league keys and season strings. Season format depends on the competition: '2026-2027' for winter-calendar leagues, '2026' for summer-calendar leagues. No parameters.

Capabilities

League TablesResults With Half-Time ScoresUpcoming FixturesGoal Timing By PeriodTeam ProfilesSeason Projections93 Leagues Incl. Lower DivisionsWomen'S Leagues

Example Prompts

Click any prompt to copy it.

App Stats

10

Tools

3

Prompts

ChatGPT

Platforms

Works with

ChatGPT

Data refreshed daily