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NFL_QB_Cumulative_EPA.R
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library(tidyverse)
library(nflreadr)
library(nflplotR)
library(showtext)
###############################################################################
# Function inspired by Thomas Mock to add logos/images to plots.
# https://themockup.blog/posts/2019-01-09-add-a-logo-to-your-plot/
add_logo <- function(plot_path, logo_path, logo_position, logo_scale = 10) {
if (!logo_position %in% c("top right", "top left", "bottom right",
"bottom left")) {
stop("Error Message: Uh oh! Logo Position not recognized\n Try: logo_positon = 'top right', 'top left', 'bottom right', or 'bottom left'")
}
# Read in raw images.
plot <- magick::image_read(plot_path)
logo_raw <- magick::image_read(logo_path)
# Get dimensions of plot for scaling.
plot_height <- magick::image_info(plot)$height
plot_width <- magick::image_info(plot)$width
# Default scale to 1/10th width of plot.
# Can change with logo_scale.
logo <- magick::image_scale(logo_raw, as.character(plot_width / logo_scale))
# Get width of logo.
logo_width <- magick::image_info(logo)$width
logo_height <- magick::image_info(logo)$height
# Set position of logo.
# Position starts at top left (0, 0).
# Using 0.01 for 1% - aesthetic padding.
if (logo_position == "top right") {
x_pos = plot_width - logo_width - 0.01 * plot_width
y_pos = 0.01 * plot_height
} else if (logo_position == "top left") {
x_pos = 0.01 * plot_width
y_pos = 0.01 * plot_height
} else if (logo_position == "bottom right") {
x_pos = plot_width - logo_width - 0.01 * plot_width
y_pos = plot_height - logo_height - 0.01 * plot_height
} else if (logo_position == "bottom left") {
x_pos = 0.01 * plot_width
y_pos = plot_height - logo_height - 0.01 * plot_height
}
# Compose the actual overlay.
magick::image_composite(plot, logo, offset = paste0("+", x_pos, "+", y_pos))
}
###############################################################################
team_info <- load_teams() %>%
select(team_abbr, team_conf, team_color) %>%
rename(team = team_abbr)
qbs <- load_players() %>%
filter(status == "ACT") %>%
filter(position == "QB")
pbp <- load_pbp(seasons = 2022)
pbp_rp <- pbp %>%
filter(rush == 1 | pass == 1) %>%
filter(!is.na(epa)) %>%
filter(penalty == 0) %>%
filter(qb_spike == 0 | qb_kneel == 0) %>%
mutate(player_name = ifelse(!is.na(passer_player_name), passer_player_name,
ifelse(!is.na(rusher_player_name),
rusher_player_name,
ifelse(!is.na(fumbled_1_player_name),
fumbled_1_player_name, NA))))
df <- pbp_rp %>%
select(player_name, posteam, epa) %>%
filter(player_name %in% qbs$short_name) %>%
group_by(player_name, posteam) %>%
mutate(play_n = row_number(),
cum_epa = cumsum(epa)) %>%
ungroup() %>%
rename(team = posteam) %>%
arrange(player_name, play_n) %>%
left_join(team_info, by = "team") %>%
mutate(player_name = gsub(".", ". ", player_name, fixed = TRUE),
player_name2 = player_name) # To plot individual lines in all facets.
top <- df %>%
group_by(player_name, team) %>%
summarise(n = n(),
cum_epa = last(cum_epa)) %>%
arrange(-n) %>%
filter(n >= 150) %>%
arrange(-cum_epa) %>%
head(32)
top_levels <- top$player_name
top_df <- df %>%
filter(player_name %in% top$player_name) %>%
mutate(player_name = factor(player_name, levels = top_levels))
font_add_google("Fjalla One", "Fjalla One")
showtext_auto(enable = TRUE)
showtext_opts(dpi = 300)
base <- ggplot(top_df,
aes(x = play_n, y = cum_epa, group = player_name)) +
facet_wrap(~player_name, ncol = 8, scales = "free") +
theme(plot.background = element_rect(fill = "#F0F8FF", colour = "#F0F8FF"),
panel.background = element_rect(fill = "#F0F8FF"),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
strip.background = element_blank(),
axis.line = element_line(),
panel.spacing.x = unit(1.5, "lines")) +
labs(title = "QB Cumulative EPA: Weeks 1-12",
subtitle = "Top 32 | 150+ plays | Passes and rushes | INTs, sacks and fumbles included",
caption = "Data: nflfastR | Plot: @cover2figuRes",
x = "Play Number",
y = "Cumulative EPA") +
theme(text = element_text(family = "Fjalla One"),
plot.title = element_text(size = 24, hjust = 0.5),
plot.subtitle = element_text(size = 20, hjust = 0.5),
plot.caption = element_text(size = 14, hjust = 0.5, vjust = -10),
axis.title = element_text(size = 18),
axis.title.x = element_text(vjust = -2),
axis.text = element_text(size = 10),
strip.text = element_text(size = 12, hjust = 0.15)) +
scale_x_continuous(limits = c(0, max(top_df$play_n)),
breaks = seq(0, 500, 100)) +
### Red fill ###
annotate("rect", fill = "red", alpha = 0.1,
xmin = -Inf, xmax = Inf,
ymin = -Inf, ymax = 0) +
### All lines ###
geom_line(data = top_df %>% select(c(2:8)), # All lines.
aes(x = play_n, y = cum_epa, group = player_name2),
colour = "grey", size = 0.3) +
### Individual player lines ###
geom_line(aes(colour = team_color), size = 1.5, show.legend = FALSE) +
### EPA Labels ###
geom_point(data = top_df %>%
group_by(player_name) %>% slice_tail(n = 1),
aes(x = play_n, y = cum_epa, colour = team_color),
shape = 21, size = 10, stroke = 1.8, fill = "white",
show.legend = FALSE) +
scale_colour_identity() +
geom_text(data = top_df %>%
group_by(player_name) %>% slice_tail(n = 1) %>%
mutate_at(vars(cum_epa), round),
aes(x = play_n, y = cum_epa, label = cum_epa),
size = 4, family = "Fjalla One") +
geom_nfl_logos(data = top_df %>%
group_by(player_name) %>% slice_head(n = 1),
aes(x = 80, y = 150, team_abbr = team), width = 0.2) +
coord_cartesian(ylim = c(min(top_df$cum_epa), max(top_df$cum_epa)),
clip = "off") +
theme(plot.margin = unit(c(1, 1, 3, 1), "lines"))
ragg::agg_png("Base.png", width = 24, height = 12, units = "in", res = 300)
base
dev.off()
base_img <- magick::image_read("Base.png")
base_raster <- grid::rasterGrob(base_img, width = unit(1, "npc"),
height = unit(1, "npc"))
plot_with_personal <- add_logo(
plot_path = "Base.png",
logo_path = "Cover2.png",
logo_position = "bottom left",
logo_scale = 28
)
magick::image_write(plot_with_personal, "Personal.png")
plot_with_nfl <- add_logo(
plot_path = "Personal.png",
logo_path = "NFL.png",
logo_position = "top left",
logo_scale = 35
)
magick::image_write(plot_with_nfl, "Plots/NFL/NFL_QB_Cum_EPA.png")