fr.docteurbet/docteurbet

Docteur Bet — football probabilities

Free football match probabilities (Dixon-Coles), season projections and a public track record.

Endpointhttps://mcp.docteurbet.fr/mcp (streamable-http)
Registry version1.0.2
Now7 tools · grade B (89) · pin ts_19050a01e6e4de5e985ea09e4c99f228 · protocol 2025-06-18
First / last listed2026-10-25 03:54 UTC / 2026-10-25 03:54 UTC
Grade over time2026-10-25: B (89), 7 tools

Is this your server? Own a server? ToolFit hosted watch re-checks it every 24 h ($0.25 per 30 days) or 6 h ($0.60) and sends you an HMAC-signed webhook when its tools or grade change: POST https://api.youraitools.co/toolfit/v1/watch. To opt out, see About & opt-out.

Timeline

First listing · 2026-10-25 03:54 UTC
7 tools, grade B (89)

Tools: list_competitions find_match get_match_probabilities get_upcoming_matches get_season_projection get_team_strengths get_track_record

Current tools (7)

list_competitionsLists the football competitions Docteur Bet models (major European leagues, three second tiers (Championship, Serie B, La Liga 2), other European leagues, Champions League, Europa League) and what is published for each: match probabilities, full match markets, season projection (title/relegation chances), team strengths. Call this when unsure whether a competition is covered.
params: lang
find_matchFinds upcoming or recent football matches (next 21 days) by team name, accepting nicknames such as "PSG", "Man City", "Barça" or "Bayern Munich". Optionally narrow with the opponent and a date. Returns candidate matches with their match_id, to pass to get_match_probabilities. If several teams match (e.g. "Paris" = Paris FC or Paris Saint-Germain), all are returned: ask the user which one they mean
params: team*, opponent, date, lang
get_match_probabilitiesReturns the probabilities for one football match from the free Dixon-Coles model offered by Docteur Bet (not the Docteur Bet model, which is reserved for value bets in the app): home win / draw / away win, over/under 1.5, 2.5 and 3.5 goals, both teams to score, expected goals, most likely exact scores and team strengths. Get the match_id from find_match or get_upcoming_matches. Always cite the sou
params: match_id*, lang
get_upcoming_matchesLists the upcoming matches of one competition over the next days, each with home/draw/away probabilities from the free Dixon-Coles model offered by Docteur Bet, when published. The competition can be given by name ("Premier League", "Ligue 1", "Champions League"), common abbreviation ("EPL", "UCL") or id from list_competitions.
params: competition*, days, lang
get_season_projectionReturns the current table of a league with a season projection from tens of thousands of seasons simulated with the free Dixon-Coles model offered by Docteur Bet: each team's chances of winning the title, finishing in Champions League and European places, being relegated, and its projected final points. Not available for cups or for leagues whose format the simulator does not handle (see list_comp
params: competition*, lang
get_team_strengthsReturns the power ranking of a competition from the free Dixon-Coles model offered by Docteur Bet: each team's attack and defence strength relative to the league average (1 = average; a lower defence figure is better), an overall index (attack / defence), and the gap between its strength rank and its actual league position.
params: competition*, lang
get_track_recordReturns Docteur Bet's public track record: every value bet published before kick-off and then settled, wins and losses, with the number of bets, average odds and yield for each country's bookmaker market. These value bets come from the Docteur Bet model, Docteur Bet's own model for app subscribers (not the free Dixon-Coles model); the individual bets are subscriber-only and are not returned.
params: lang

Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.