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Market Odds for Upcoming Events#

The following describes how to retrieve the market odds information for an event.

Related Sports Data APIS

Method Description Availability
GET /{sport}/v2/events ALL LEAGUES

First, lets load an upcoming Basketball event;

GET https://api.quarter4.io/basketball/v2/events?startDate[after]=2022-03-08&order[startDate]=asc&include=winloss&count=1

The preceding query includes a few options to limit results. First, we filter to a startDate to start after a specific date (use today's date for best results) and then we order by startDate ascending with a count of 1 to get only the next event for this example. Additionally we use include=winloss to include the forecast predictions for this event.

The result looks like this:

{
  "links": {
    "self": "\/basketball\/v2\/events?ccount=1\u0026include=winloss\u0026order%5BstartDate%5D=asc\u0026startDate%5Bafter%5D=2022-03-08T18%3A34%3A34%2B00%3A00\u0026page=1",
    "first": "\/basketball\/v2\/events?\u0026count=1\u0026include=winloss\u0026order%5BstartDate%5D=asc\u0026startDate%5Bafter%5D=2022-03-08T18%3A34%3A34%2B00%3A00\u0026page=1",
    "last": "\/basketball\/v2\/events?\u0026count=1\u0026include=winloss\u0026order%5BstartDate%5D=asc\u0026startDate%5Bafter%5D=2022-03-08T18%3A34%3A34%2B00%3A00\u0026page=453",
    "next": "\/basketball\/v2\/events?\u0026count=1\u0026include=winloss\u0026order%5BstartDate%5D=asc\u0026startDate%5Bafter%5D=2022-03-08T18%3A34%3A34%2B00%3A00\u0026page=2"
  },
  "meta": {
    "totalItems": 453,
    "itemsPerPage": 1,
    "currentPage": 1
  },
  "data": [
    {
      "id": "\/basketball\/v2\/events\/83516688-56f6-48c6-a58f-aae1b8c4e340",
      "type": "Event",
      "attributes": {
        "startDate": "2022-03-08T19:00:00+00:00",
        "eventStatus": {
          "name": "Pre-Game",
          "uuid": "d9f80558-4fad-42a2-b565-d3a26ad76687"
        },
        "homeTeamScore": null,
        "awayTeamScore": null,
        "title": "ACC - First Round - Game 1",
        "homeSeed": 12,
        "awaySeed": 13,
        "coverage": "full",
        "otherBooksData": {
          "spread_home": {
            "MGM": "1.5",
            "DraftKings": "2",
            "FanDuel": "3",
            "Westgate": "2",
            "SugarHouseNJ": "2",
            "PointsBet": "2",
            "Bet365NewJersey": "2",
            "WilliamHillNewJersey": "2"
          },
          "spread_away": {
            "MGM": "-1.5",
            "DraftKings": "-2",
            "FanDuel": "-3",
            "Westgate": "-2",
            "SugarHouseNJ": "-2",
            "PointsBet": "-2",
            "Bet365NewJersey": "-2",
            "WilliamHillNewJersey": "-2"
          },
          "over_under": {
            "MGM": "129.5",
            "DraftKings": "129",
            "FanDuel": "128.5",
            "Westgate": "128.5",
            "SugarHouseNJ": "129.5",
            "PointsBet": "128.5",
            "Bet365NewJersey": "128.5",
            "WilliamHillNewJersey": "128"
          }
        },
        "uuid": "83516688-56f6-48c6-a58f-aae1b8c4e340",
        "neutralSite": true,
        "duration": null,
        "leadChanges": null,
        "timesTied": null,
        "clock": null,
        "quarter": null,
        "clockDecimal": null,
        "conferenceGame": false,
        "half": null,
        "displayStatus": "scheduled"
      },
      "relationships": {
        "league": {
          "data": {
            "type": "League",
            "id": "\/basketball\/v2\/leagues\/da57437e-4688-4e1c-9bc5-6df2dcab1a14"
          }
        },
        "homeTeam": {
          "data": {
            "type": "Team",
            "id": "\/basketball\/v2\/teams\/db538d77-f327-4fea-a0b5-b33a9ef8749d"
          }
        },
        "awayTeam": {
          "data": {
            "type": "Team",
            "id": "\/basketball\/v2\/teams\/19f105d9-f6ee-447e-96a8-9d44e82864ba"
          }
        },
        "nextEvent": {
          "data": {
            "type": "Event",
            "id": "\/basketball\/v2\/events\/0d0be466-ac5e-4f58-88db-a60c3774cb3a"
          }
        },
        "winloss": {
          "data": {
            "type": "WinLoss",
            "id": "\/basketball\/v2\/win_losses\/83516688-56f6-48c6-a58f-aae1b8c4e340"
          }
        },
        "simulatedPicks": {
          "data": {
            "type": "Simulation",
            "id": "\/basketball\/v2\/simulations\/42193d9f-f261-4286-b5a9-27fe3e514af6"
          }
        }
      }
    }
  ],
  "included": [
    {
      "id": "\/basketball\/v2\/win_losses\/83516688-56f6-48c6-a58f-aae1b8c4e340",
      "type": "WinLoss",
      "attributes": {
        "detail": "The Boston College Eagles have a 63.2% chance of beating the Pittsburgh Panthers",
        "homeWinProbability": 37,
        "awayWinProbability": 63,
        "homeSpread": 1,
        "awaySpread": -1,
        "overUnder": 139.023,
        "winLossSpreadConsistency": 1,
        "otherBooksData": {
          "spread_home": {
            "MGM": "1.5",
            "DraftKings": "2",
            "FanDuel": "3",
            "Westgate": "2",
            "SugarHouseNJ": "2",
            "PointsBet": "2",
            "Bet365NewJersey": "2",
            "WilliamHillNewJersey": "2"
          },
          "spread_away": {
            "MGM": "-1.5",
            "DraftKings": "-2",
            "FanDuel": "-3",
            "Westgate": "-2",
            "SugarHouseNJ": "-2",
            "PointsBet": "-2",
            "Bet365NewJersey": "-2",
            "WilliamHillNewJersey": "-2"
          },
          "over_under": {
            "MGM": "129.5",
            "DraftKings": "129",
            "FanDuel": "128.5",
            "Westgate": "128.5",
            "SugarHouseNJ": "129.5",
            "PointsBet": "128.5",
            "Bet365NewJersey": "128.5",
            "WilliamHillNewJersey": "128"
          }
        },
        "overtimeProbability": null,
        "predictAsOvertime": null,
        "uuid": "83516688-56f6-48c6-a58f-aae1b8c4e340",
        "probability": 63,
        "winnerUuid": "19f105d9-f6ee-447e-96a8-9d44e82864ba",
        "loserUuid": "db538d77-f327-4fea-a0b5-b33a9ef8749d"
      },
      "relationships": {
        "event": {
          "data": {
            "type": "Event",
            "id": "\/basketball\/v2\/events\/83516688-56f6-48c6-a58f-aae1b8c4e340"
          }
        }
      }
    }
  ]
}

You can now use the above result to get the predictions and other book information from the related WinLoss entity in data[0].included[0].attributes.

The otherBooksData is a JSON object with spread_home, spread_away and over_under lists from other books, while predictions are located in the homeSpread, awaySpread and overUnder attributes.