MotoGP Overview

Introduction

The MotoGP API provides schedules and post-race results for the entire MotoGP Championship, as well as Moto2, Moto3, and Superbike championships. All data is collected via Sportradar’s expert operators.

Select the MotoGP and Superbike packages in our Coverage Matrix for events and data offered.

This API uses a descending, stage-based structure. By changing the stage ID, you can retrieve information on a season, event, race, or any of the practice or qualifying stages.

Additional feeds provide complementary stats, including team profiles and race win probabilities.

Stage Format

The core of this API is built around the concept of stages. For example, an event may contain the following stage types: practice, qualifying, and race. Each of those stages, in turn, have stages. The IDs of each stage are usable in the Stage Summary path to request information about that particular stage.

See the below Stage Types table for all available stage types, their sub-stages, and their definitions.

The best way to start the navigation with the MotoGP API is the Seasons endpoint. From there, obtain the stage ID for the season required and use that in the Stage Summary as a starting point into the sub-stages.

Stage Types

Stage Type	Information Included	Sub-stages
Sport `sport`	Information about the seasons included. Note probabilities do not return valid data on this stage.	MotoGP (`sr:stage:8306`) Moto2 (`sr:stage:8528`) Moto3 (`sr:stage:8529`) Superbike (`sr:stage:17111`)
Season `season`	Contains the season schedule, driver standings and statistics.	Events on the race calendar for that season
Event `event`	Information about a single event, the competitors, the teams, and the circuit.	Sessions (eg: Practice, Qualifying, Race)
Practice `practice`	Competitors and results of practice such as fastest time etc.	None
Qualifying `qualifying`	Information pertaining to the qualifying stage of the event including conditions, competitors, and overall qualifying results.	Qualifying Parts
Qualifying Part `qualifying_part`	Information about the individual qualifying parts of the overall qualifying stage such as conditions, competitors, and results.	None
Sprint Race `sprint_race`	Details of a sprint race including the competitors and results.	None
Race `race`	Details of the race itself including the competitors and overall results.	None

API Map

Endpoint Descriptions

Competitor Merge Mappings - Provides the valid Sportradar Id in cases when two competitors have been merged into one.

Competitor Profile – Provides biographical information for a given driver.

Deleted Stages - Provides all deleted stages within a given season.

Seasons - Provides a complete historical list of available seasons. This is the starting point for the MotoGP API.

Stage Probabilities – Provides the outrights for each driver for a given race.

Stage Schedule – Provides the schedule for a given stage.

Stage Summary – Provides schedules and results information based on the stage provided (sport, season, event, practice, qualifying, qualifying part, or race).

Team Profile – Provides detailed team information including vehicle details, debut date, and foundation year.

Data Retrieval Sample

To find the win probabilities for a given race:

Call the Seasons endpoint and find the Stage Id for the current season
Call the Stage Schedule using the 'season' Stage Id
Locate the Stage Id for the upcoming race
Call the Stage Probabilities using the 'race' Stage Id
Within the results locate the win probability for each racer

Integration Resources

OpenAPI Spec

Our MotoGP API is available via OpenAPI. Click below to view and/or download the spec.

MotoGP v2 OpenAPI

Postman Workspace

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Run in Postman
Our full Media API suite—including the MotoGP collection—lives in our public Postman workspace. Fork or follow any collection to get updates automatically.

Schema Download

Open the zip file below to access our entire MotoGP API XSD schema.

MotoGP v2 Schema

MCP Server

The Sportradar MotoGP MCP Server is a Model Context Protocol (MCP) implementation that bridges AI assistants directly to our MotoGP API feeds. It allows LLMs to use standardized tools to fetch our sports data, helping to power your applications, assist in coding, and streamlining your integration.

For detailed instructions on how to set up and use this integration, visit our MCP Server documentation.