Automated language models access football statistics and tools

Automated language models can access football statistics, standings, fixtures, and odds through available platform documentation and tools.

Analysis Playbook and Account Management

The system provides an optional yet recommended entry point via af_analysis_playbook, which returns an exact ordered list of specific tools to execute for a given football analysis task without making any initial API calls. Users can simultaneously monitor their af_status to check subscription plan parameters, daily request limits, and current usage. Additional administrative and reference endpoints include af_timezone for valid timezone strings, af_countries for country names, codes, and flags, and af_leagues_seasons to list all available season years across the platform.

Leagues, Teams, and Fixture Data Tools

Data retrieval relies heavily on numeric identifiers to connect different categories. The af_leagues endpoint locates leagues and cups alongside their available seasons and numeric IDs required by standings, fixtures, and top scorers. Similarly, af_teams finds teams and their numeric IDs, which are needed by almost every other tool. Once identifiers are established, queries can target af_standings for league tables, af_fixtures for match scores, af_fixtures_rounds for round names, and af_head_to_head for historical meetings between two teams using the h2h='idA-idB' parameter.

Detailed match insights are accessible through af_fixture_statistics for team match data, af_fixture_events for timelines covering goals, cards, substitutions, and VAR, af_fixture_lineups for starting XIs, benches, formations, and coaches, and af_fixture_players for per-player statistics and ratings. Supplemental information covers af_venues for stadiums, af_injuries for absences, af_predictions for win/draw/loss percentages and predicted winners, and af_coachs for managerial careers.

Player Statistics and Betting Odds Endpoints

Player performance tracking is supported by af_players for seasonal statistics, af_player_seasons, af_player_squads, af_player_teams, and af_player_profiles for personal data such as age, height, and nationality. Competitive rankings are available via af_topscorers, af_topassists, af_topyellowcards, and af_topredcards, alongside historical data from af_transfers, af_trophies, and af_sidelined past absences.

Betting markets are fully integrated through pre-match and live endpoints. Users can query af_odds_prematch across bookmakers and markets, access af_odds_live for real-time in-play updates, review catalogues using af_odds_live_bets and af_odds_bets, check fixture mapping via af_odds_mapping, and list available bookmakers with af_odds_bookmakers.

Editor-in-Chief

Editor-in-Chief

Daniel Richardson is the Editor-in-Chief of Archysport, where he leads the editorial team and oversees all published content across nine sport verticals. With over 15 years in sports journalism, Daniel has reported from the FIFA World Cup, the Olympic Games, NFL Super Bowls, NBA Finals, and Grand Slam tennis tournaments. He previously served as Senior Sports Editor at Reuters and holds a Master's degree in Journalism from Columbia University. Recognized by the Sports Journalists' Association for excellence in reporting, Daniel is a member of the International Sports Press Association (AIPS). His editorial philosophy centers on accuracy, depth, and fair coverage — ensuring every story published on Archysport meets the highest standards of sports journalism.

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