Using the Squiggle API

library(fitzRoy)
library(dplyr)

Squiggle Data

You can access data from the Squiggle API directly with the fetch_squiggle_data. This allows direct access to the Squiggle API.

Note that we also provide some helper functions that map more closely to our fetch_ functions such as fetch_ladder_squiggle.

Queries

Full instructions for constructing queries can be found at Squiggle API. One of the following must be provided to the query argument.

Optional Arguments

Optional arguments can then be supplied based on the query.

For example, games takes the following optional arguments. * year - Year * round - Round * game - Game ID * complete - Percent of game complete

These can be supplied as named arguments after the query. For example, to return games from just 2020, we would use the following.

fetch_squiggle_data(query = "games", year = 2020)

Examples

Teams

Fetch info about one or more AFL teams.

fetch_squiggle_data("teams")

Games

Fetch info about one or more games.

fetch_squiggle_data(query = "games", year = 2020)

Sources

Fetch info about one or more computer models.

# You can get the sources
fetch_squiggle_data("sources")

Tips

Fetch info about one or more tips made by computer models.

# Get all tips
fetch_squiggle_data("tips")

We can just look at one particular round.

# Get` just tips from round 1, 2018
fetch_squiggle_data("tips", round = 1, year = 2018)

Standings

Fetch info about team standings at a point in time, i.e. the ladder.

fetch_squiggle_data("standings", year = 2020, round = 1)

Ladder

Fetch info about one or more projected ladders generated by computer models. For the actual ladder, see standings instead.

fetch_squiggle_data("ladder", year = 2019, round = 15, source = 1)

PAV

Fetch info about players using HPN Footy’s Player Approximate Value.

fetch_squiggle_data("pav",
  firstname = "Dustin",
  surname = "Martin",
  year = 2017
)