Mock sample for your project: LoL v3 Projections API

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LoL v3 Projections

sportsdata.io

Version: 1.0


Use this API in your project

Speed up your application development by using "LoL v3 Projections API" ready-to-use mock sample. Mocking this API will allow you to start working in no time. No more accounts to create, API keys to provision, accesses to configure, unplanned downtime, just work.
It also improves your integration tests' quality and reliability by accounting for random failures, slow response time, etc.

Description

LoL v3 Projections

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PandaScore REST API for All Videogames

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Introduction
Whether you're looking to build an official Pandascore integration for your service, or you just want to build something awesome, we can help you get started.
The API works over the HTTPS protocol, and is accessed from the api.pandascore.co domain.
The current endpoint is https://api.pandascore.co.
All data is sent and received as JSON by default.
Blank fields are included with null values instead of being omitted.
All timestamps are returned in ISO-8601 format
About this documentation
Clicking on a query parameter like filter or search will show you the available options: filter
You can also click on a response to see the detailed response schema: response
Events hierarchy
The PandaScore API allows you to access data about eSports events by using a certain structure detailed below.
Leagues
Leagues are the top level events. They don't have a date and represent a regular competition. A League is composed of one or several series.
Some League of Legends leagues are: EU LCS, NA LCS, LCK, etc.
Some Dota 2 leagues are: ESL One, GESC, The International, PGL, etc.
Series
A Serie represents an occurrence of a league event.
The EU LCS league has two series per year: spring 2017, summer 2017, spring 2016, summer 2016 etc.
Some Dota2 Series examples would be: Changsha Major, Open Bucharest, Frankfurt, i-League Invitational etc.
Tournaments
Tournaments groups all the matches of a serie under "stages" and "groups".
The tournaments of the EU LCS of summer 2017 are: Group A, Group B, Playoffs, etc.
Some Dota 2 tournaments are: Group A, Group B, Playoffs, etc.
Matches
Finally we have matches which have two players or teams (depending on the played videogame) and several games (the rounds of the match).
Matches of the group A in the EU LCS of summer 2017 are: G2 vs FNC, MSF vs NIP, etc.
Matches of the group A in the ESL One, Genting tournamnet are: Lower Round 1, Quarterfinal, Upper Final, etc.
Please note that some matches may be listed as "TBD vs TBD" if the matchup is not announced yet, for example the date of the Final match is known but the quarterfinal is still being played.
Structure
Formats
The API currently supports the JSON format by default.
Other formats may be added depending on user needs.
Pagination
The Pandascore API paginates all resources on the index method.
Requests that return multiple items will be paginated to 50 items by default. You can specify further pages with the page[number] parameter. You can also set a custom page size (up to 100) with the page[size] parameter.
The Link HTTP response header contains pagination data with first, previous, next and last raw page links when available, under the format
Sorting
All index endpoints support multiple sort fields with comma-separation (,); the fields are applied in the order specified.
The sort order for each field is ascending unless it is prefixed with a minus (U+002D HYPHEN-MINUS, “-“), in which case it is descending.
For example, GET /lol/champions?sort=attackdamage,-name&token=YOURACCESSTOKEN will return all the champions sorted by attack damage.
Any champions with the same attack damage will then be sorted by their names in descending alphabetical order.
Rate limiting
Depending on your current plan, you will have a different rate limit. Your plan and your current request count are available on your dashboard.
With the free plan, you have a limit of 1000 requests per hour, others plans have a limit of 4000 requests per hour. The number of remaining requests is available in the X-Rate-Limit-Remaining response header.
Your API key is included in all the examples on this page, so you can test any example right away. Only you can see this value.
Authentication
The authentication on the Pandascore API works with access tokens.
All developers need to create an account before getting started, in order to get an access token. The access token should not be shared.
Your token can be found and regenerated from your dashboard.
The access token can be passed in the URL with the token query string parameter, or in the Authorization: Bearer header field.

Bets API

The Bets API methods are used to place single, multiple and complex bets and to retrieve a customer’s bet history. When retrieving a customer’s bet history you can organize the bets from the betting history in terms of date, bet type and whether the bet is settled or not. You can also specify what fields to be included/excluded or return a list of all default fields the method returns. The Bets API will also generate a bet delay if you’re placing a single/multiple bet in-Play by creating a time margin to negate the effects of major changes to the market (for example, goals during a football match). Note that in version 2 of our APIs, Bets API contains the functionality of both Bets API v1 and the Betslips API v1.

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