Pre Formatted Odds

Introduction

The odds include returns a pre-formatted structured representation of odds available for this game. The example below shows how the formatation is done. Basically it's grouped by market and bookmaker. Relational data cannot be loaded via nested includes as wel as include filtering is not possible.

Note that due to the formation the response time might be slower then when using the flatOdds include. You may use the markets and bookmakers query string parameters to filter odds. you can pass in a comma separated list of ids.

"odds": {
    "data": [
        {
            "id": 1,
            "name": "3Way Result",
            "bookmaker": {
                "data": [
                    {
                        "id": 150,
                        "name": "BWin",
                        "odds": {
                            "data": [
                                {
                                    "label": "1",
                                    "value": "7.00",
                                    "dp3": "7.000",
                                    "american": "60",
                                    "winning": false,
                                    "handicap": null,
                                    "total": null,
                                    "bookmaker_event_id": "8014027",
                                    "last_update": {
                                        "date": "2018-12-21 21:40:08.000000",
                                        "timezone_type": 3,
                                        "timezone": "UTC"
                                    }
                                },
                                {
                                    "label": "2",
                                    "value": "1.53",
                                    "dp3": "1.530",
                                    "american": "-189",
                                    "winning": true,
                                    "handicap": null,
                                    "total": null,
                                    "bookmaker_event_id": "8014027",
                                    "last_update": {
                                        "date": "2018-12-21 21:40:08.000000",
                                        "timezone_type": 3,
                                        "timezone": "UTC"
                                    }
                                },
                                {
                                    "label": "X",
                                    "value": "4.00",
                                    "dp3": "4.000",
                                    "american": "30",
                                    "winning": false,
                                    "handicap": null,
                                    "total": null,
                                    "bookmaker_event_id": "8014027",
                                    "last_update": {
                                        "date": "2018-12-21 21:40:08.000000",
                                        "timezone_type": 3,
                                        "timezone": "UTC"
                                    }
                                }
                            ]
                        }
                    }
                ]
            }
        }
    ]
}

Relationship Details

Below you can find the details for this relationship.