ggshakeR: Analytics and Visualization Package for Soccer Data

plot_trendline

R Documentation

Function for plotting xG Trendline with FBref/ StatsBomb data.

Description

The data can be scraped from FBref.
Dataframe passed in must have the following column names:

Date (format: year-month-day).yyyy-mm-dd,
Home_xG (xG for Home Team),
Away_xG (xG for Away Team),
Home (Home Team),
Away (Away Team)

Usage

plot_trendline(data, team, color_xg, color_xga, rolling_average, theme = "")

Arguments

`data`	is for the dataset used. Select the number of matches wanted in the viz beforehand.
`team`	is to select the specific team for the viz. Team must be accurate as per FBref specifications.
`color_xg`	is for selecting color for xGoals.
`color_xga`	is for selecting the color for xGoalsAgainst.
`rolling_average`	is for setting the rolling average for the data.
`theme`	to select the theme from 4 options -> dark, almond, rose, white.

Details

For best clarity, export plot as a 2000x1000 png

Examples

## Not run: 
plot <- plot_trendline(data = pl, team = "Tottenham",
                       color_xg = "#08519c", color_xga = "#cb181d",
                       rolling_average = 10, theme = "dark")
plot

## End(Not run)

abhiamishra/ggshakeR documentation built on Aug. 19, 2023, 2 p.m.