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@jthomasmock
Last active September 21, 2020 22:57
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# Code: https://git.io/JUzIr
library(tidyverse)
library(ggtext)
adv_stats <- team_def %>%
left_join(
nflfastR::teams_colors_logos %>%
select(team = team_name, team_color, team_logo_espn) %>%
distinct(team, .keep_all = TRUE)
)
summary_df <- adv_stats %>%
summarize(
blitz_pct = mean(blitz_pct),
pressure_pct = mean(pressure_pct)
)
blitz_plot <- adv_stats %>%
ggplot(aes(x = blitz_pct, y = pressure_pct)) +
ggimage::geom_image(aes(image = team_logo_espn), by = "height", size = 0.08, asp = 1.618) +
ggtext::geom_richtext(
data = steelers_df, nudge_x = 0.01,
fill = NA, label.color = NA, # remove background and outline
hjust = 0, size = 6,
aes(label = label)
) +
geom_hline(yintercept = pull(summary_df, pressure_pct), color = "red", linetype = "dashed") +
geom_vline(xintercept = pull(summary_df, blitz_pct), color = "red", linetype = "dashed") +
scale_x_continuous(breaks = scales::pretty_breaks(n = 8), labels = scales::percent_format(accuracy = 1)) +
scale_y_continuous(breaks = scales::pretty_breaks(n = 8), labels = scales::percent_format(accuracy = 1)) +
theme_minimal() +
theme(
panel.grid.minor = element_blank(),
aspect.ratio = 1 / 1.618,
plot.title = element_text(size = 28, face = "bold"),
plot.subtitle = element_text(size = 22),
plot.caption = ggtext::element_markdown(size = 18),
axis.title = element_text(size = 20, face = "bold"),
axis.text = element_text(size = 16)
) +
labs(
title = "Blitz Rate vs Pressure Rate",
subtitle = "2020 Season",
x = "\nBlitz Rate\n",
y = "Pressure Rate\n",
caption = "**Data:** ProFootball Reference | **Plot:** @thomas_mock"
)
blitz_plot
ggsave("blitz_plot.png", plot = blitz_plot, height = 10, width = 10 * 1.618, dpi = "retina")
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