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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 game's player props in one call: average implied and fair probability for each player and line, without working through every book.

Parameters

game_idstringrequired
Game id, e.g. 401859967.
marketenum: player_points | player_rebounds | player_assists | player_threes | player_points_rebounds_assists | player_blocks | player_steals | player_points_rebounds | player_points_assists | player_rebounds_assists | player_double_double | player_triple_doubleoptional
One market, e.g. player_points. Default every market.
player_idstringoptional
One player's id (e.g. 3945274, from search_players). Default every player.
leagueenum: nba | wnba | ncaamoptional
League. Defaults to nba. One of: nba, wnba, ncaam.

Notes

  • Over MCP, ask for it in plain English and the client calls get_prop_probabilities itself. Point any MCP client at https://mcp.dunkapi.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.dunkapi.com/v1/get_prop_probabilities \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
  "game_id": "401859967",
  "market": "player_points"
}'

Response

json
{
  "game_id": "401859967",
  "scheduled_start": "2026-06-14T00:30:00.000Z",
  "props": [
    {
      "player_id": "4066259",
      "player_name": "De'Aaron Fox",
      "market": "player_points",
      "label": "points",
      "consensus_line": 15.5,
      "lines": [
        {
          "line": 15.5,
          "books_used": 6,
          "fair_books": 6,
          "over": "{...}",
          "under": "{...}"
        }
      ]
    },
    {
      "player_id": "4395630",
      "player_name": "Devin Vassell",
      "market": "player_points",
      "label": "points",
      "consensus_line": 13.5,
      "lines": [
        {
          "line": 13.5,
          "books_used": 5,
          "fair_books": 5,
          "over": "{...}",
          "under": "{...}"
        },
        {
          "line": 14.5,
          "books_used": 1,
          "fair_books": 1,
          "over": "{...}",
          "under": "{...}"
        }
      ]
    },
    {
      "player_id": "5037871",
      "player_name": "Dylan Harper",
      "market": "player_points",
      "label": "points",
      "consensus_line": 15.5,
      "lines": [
        {
          "line": 15.5,
          "books_used": 4,
          "fair_books": 4,
          "over": "{...}",
          "under": "{...}"
        },
        {
          "line": 14.5,
          "books_used": 2,
          "fair_books": 2,
          "over": "{...}",
          "under": "{...}"
        }
      ]
    }
  ],
  "count": 18,
  "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."
}

Response fields

game_idstring
scheduled_startstring
props[]array
List of objects
props[].player_idstring
props[].player_namestring
props[].marketstring
props[].labelstring
props[].consensus_linenumber
props[].lines[]array
List of objects
props[].lines[].linenumber
props[].lines[].books_usednumber
props[].lines[].fair_booksnumber
props[].lines[].overstring
props[].lines[].understring
countnumber
methodstring

Related endpoints

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500 free credits every month: 50 calls to get_prop_probabilities, and no card.