get_prop_probabilities

10 creditsMulti-tablePOST /v1/get_prop_probabilities

What the market thinks of a game's player props: average implied and fair probability for each player and line

Use it when you want the market's view of a match's player props in one call: average implied probability for each player, and the fair probability where a book posts both sides.

Parameters

game_idstringrequired: Game id, e.g. 401879246.
marketenum: player_goal_scorer_anytime | player_shots_on_target | player_shots | player_assists | player_first_goal_scorer | player_last_goal_scorer | player_to_receive_cardoptional: One market, e.g. player_goal_scorer_anytime. Default every market.
player_idstringoptional: One player's id (e.g. 280555, from search_players). Default every player.
leagueenum: soccer | mls | laliga | seriea | bundesliga | ligue1 | ucloptional: League. Defaults to soccer. One of: soccer, mls, laliga, seriea, bundesliga, ligue1, ucl.

Notes

Over MCP, ask for it in plain English and the client calls get_prop_probabilities itself. Point any MCP client at https://mcp.strikerapi.com/mcp?key=YOUR_API_KEY.
Each call costs 10 credits, taken before it runs and refunded if the server errors.
Not the call you need? Find the right call by what you are trying to answer.

Request

curl -X POST https://mcp.strikerapi.com/v1/get_prop_probabilities \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
  "game_id": "401879246",
  "market": "player_goal_scorer_anytime"
}'

Response

json

{
  "game_id": "401879246",
  "scheduled_start": "2026-11-01T16:30:00.000Z",
  "props": [
    {
      "player_id": "235662",
      "player_name": "Alexander Isak",
      "market": "player_goal_scorer_anytime",
      "label": "anytime goalscorer (over = scores)",
      "consensus_line": null,
      "lines": [
        {
          "line": null,
          "books_used": 4,
          "fair_books": 1,
          "over": "{...}",
          "under": "{...}"
        }
      ]
    },
    {
      "player_id": "249299",
      "player_name": "Alexis Mac Allister",
      "market": "player_goal_scorer_anytime",
      "label": "anytime goalscorer (over = scores)",
      "consensus_line": null,
      "lines": [
        {
          "line": null,
          "books_used": 3,
          "fair_books": 0,
          "over": "{...}",
          "under": "{...}"
        }
      ]
    },
    {
      "player_id": "390975",
      "player_name": "Andre Harriman-Annous",
      "market": "player_goal_scorer_anytime",
      "label": "anytime goalscorer (over = scores)",
      "consensus_line": null,
      "lines": [
        {
          "line": null,
          "books_used": 2,
          "fair_books": 0,
          "over": "{...}",
          "under": "{...}"
        }
      ]
    }
  ],
  "count": 40,
  "method": "avg_implied_prob averages each book's implied probability, margin included. fair_prob takes the margin out of each book's two prices for the same line, proportionally, then averages. Only identical lines are combined."
}