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Docteur Bet — football probabilities

fr.docteurbet/docteurbetVersion 1.0.2

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

Status

Responds54 msAnswered our handshake without sign-in.

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Last checked
Nov 14, 2026, 14:30 UTC
Latency
54 ms
Remotes responding
1 of 1
Sign-in
No sign-in
Hosting
EU hosting detected (detected, not a legal statement)
Registry data as of
Nov 14, 2026, 22:14 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP
https://mcp.docteurbet.fr/mcpResponds54 ms
No sign-in

Claude Code

claude mcp add --transport http docteurbet https://mcp.docteurbet.fr/mcp

Claude Desktop and claude.ai

Settings > Connectors > Add custom connector
Name: docteurbet
Remote MCP server URL: https://mcp.docteurbet.fr/mcp

Cursor

{
  "mcpServers": {
    "docteurbet": {
      "url": "https://mcp.docteurbet.fr/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"docteurbet","type":"http","url":"https://mcp.docteurbet.fr/mcp"}'

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Tools

7 tools

Tools of Docteur Bet — football probabilities
Read-only
Idempotent
Open world
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.NoYesYesNo
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 source, the model and the calculation date.NoYesYesNo
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_competitions).NoYesYesNo
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.NoYesYesNo
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.NoYesYesNo
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.NoYesYesNo
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.NoYesYesNo

Details

Registry status
Active
Published
Oct 16, 2026
Updated
Oct 16, 2026
Repository
Not given
Categories (suggested)
Data and analyticsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR
Not declared

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