Tom Mock jthomasmock

List of NFL API Endpoints

This page has been updated a lot in the past 3 years. Older revisions you might like more than this one:

Code below. To get the game you want, need to choose season, type (regular, postseason, etc), home team, away team, and the rest will go on itself.

Code from @benbbaldwin

library(nflscrapR)
library(tidyverse)
library(na.tools)

	library(tidyverse)
	library(ggtext)
	library(grid)
	library(crayon)

	title <- "The <b><span style='color:#FF0000'>Sigmoid Function</span></b> and its <b><span style='color:#0000FF'>Derivative</span></b>"

	df <- data.frame(x = -5:5)

	ggplot(df, aes(x)) +

	library(gt)
	library(gtExtras)

	library(dplyr)
	#>
	#> Attaching package: 'dplyr'
	#> The following objects are masked from 'package:stats':
	#>
	#> filter, lag
	#> The following objects are masked from 'package:base':

	library(magrittr)

	df <- tibble::tibble(
	var_a = c("a", "b", "c", "d"),
	var_b = c(1.234, 12.34, 123.4, 1234)
	)

	num_to_html <- function(num, separator = ".") {
	stringr::str_split_fixed(num, stringr::fixed(separator), n = 2) %>%
	as.data.frame() %>%

	library(tweetrmd)
	library(htmltools)
	library(reactable)

	x <- tibble::tibble(
	name = c("Tom", "Julia"),
	handle = c("@thomas_mock", "@b0rk"),
	tweet = c(
	"https://twitter.com/thomas_mock/status/1294670115590545408",
	"https://twitter.com/b0rk/status/1295029728127135746"

	read_csv("https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Confirmed.csv") %>%
	gather(date, cases, 5:ncol(.)) %>%
	mutate(date = as.Date(date, "%m/%d/%y")) %>%
	group_by(country = `Country/Region`, date) %>%
	summarise(cases = sum(cases)) %>%
	filter(country != "Others" & country != "Mainland China") %>%
	bind_rows(
	tibble(country = "Republic of Korea", date = as.Date("2020-03-11"), cases = 7755)
	) %>%
	group_by(country) %>%

	# Load the packages we’re going to be using:
	# Alongside the usual stuff like tidyverse and magrittr, we’ll be using rvest for some web-scraping, jsonline to parse some JSON, and extrafont to load some nice custom fonts
	needs(tidyverse, magrittr, rvest, jsonlite, extrafont)

	# Before we go on, two things to note:

	# First, on web scraping:
	# You should always check the terms of the site you are extracting data from, to make sure scraping (often referred to as `crawling`) is not prohibited. One way to do this is to visit the website’s `robots.txt` page, and ensure that a) there is nothing explicitly stating that crawlers are not permitted, and b) ideally, the site simply states that all user agents are permitted (indicated by a line saying `User-Agect: *`). Both of those are the case for our use-case today (see https://www.ultimatetennisstatistics.com/robots.txt).

	# And second, about those custom fonts: