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get_match_summary.R
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get_match_summary.R
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#' Get FBref match summary
#'
#' Returns match summary data for selected match URLs, including goals, subs and cards
#' Replaces the deprecated function get_match_summary
#'
#' @param match_url the fbref.com URL for the required match
#' @param time_pause the wait time (in seconds) between page loads
#'
#' @return returns a dataframe with the match events (goals, cards, subs) for selected matches
#'
#' @importFrom magrittr %>%
#' @importFrom rlang .data
#'
#' @export
#'
#' @examples
#' \dontrun{
#' try({
#' match <- fb_match_urls(country = "AUS", gender = "F", season_end_year = 2021, tier = "1st")[1]
#' df <- fb_match_summary(match_url = match)
#' })
#' }
#'
fb_match_summary <- function(match_url, time_pause=3) {
time_wait <- time_pause
get_each_match_summary <- function(match_url, time_pause=time_wait) {
pb$tick()
# put sleep in as per new user agreement on FBref
Sys.sleep(time_pause)
each_game_page <- tryCatch(.load_page(match_url), error = function(e) NA)
if(!is.na(each_game_page)) {
match_report <- .get_match_report_page(match_page = each_game_page)
Home_Team <- tryCatch(each_game_page %>% rvest::html_nodes("div+ strong a") %>% rvest::html_text() %>% .[1], error = function(e) NA)
Away_Team <- tryCatch(each_game_page %>% rvest::html_nodes("div+ strong a") %>% rvest::html_text() %>% .[2], error = function(e) NA)
events <- each_game_page %>% rvest::html_nodes("#events_wrap")
events_home <- events %>% rvest::html_nodes(".a") %>% rvest::html_text() %>% stringr::str_squish()
events_away <- events %>% rvest::html_nodes(".b") %>% rvest::html_text() %>% stringr::str_squish()
home_events <- tryCatch(data.frame(Team=Home_Team, Home_Away="Home", events_string=events_home), error = function(e) data.frame())
away_events <- tryCatch(data.frame(Team=Away_Team, Home_Away="Away", events_string=events_away), error = function(e) data.frame())
events_df <- dplyr::bind_rows(home_events, away_events)
if(nrow(events_df) > 0) {
events_df <- events_df %>%
dplyr::mutate(Event_Time = gsub("&rsquor.*", "", .data[["events_string"]])) %>%
dplyr::mutate(Is_Pens = stringr::str_detect(.data[["Event_Time"]], "[A-Z]"))
suppressWarnings(
events_df <- events_df %>%
dplyr::mutate(Event_Half = dplyr::case_when(
!.data[["Is_Pens"]] & as.numeric(gsub("\\+.*", "", .data[["Event_Time"]])) <= 45 ~ 1,
!.data[["Is_Pens"]] & dplyr::between(as.numeric(gsub("\\+.*", "", .data[["Event_Time"]])), 46, 90) ~ 2,
!.data[["Is_Pens"]] & dplyr::between(as.numeric(gsub("\\+.*", "", .data[["Event_Time"]])), 91, 105) ~ 3,
!.data[["Is_Pens"]] & dplyr::between(as.numeric(gsub("\\+.*", "", .data[["Event_Time"]])), 106, 120) ~ 4,
TRUE ~ 5
))
)
events_df <- events_df %>%
dplyr::mutate(Event_Time = gsub("&rsquor.*", "", .data[["events_string"]]) %>% ifelse(stringr::str_detect(., "\\+"), (as.numeric(gsub("\\+.*", "", .)) + as.numeric(gsub(".*\\+", "", .))), .),
Event_Time = ifelse(.data[["Is_Pens"]], 121, .data[["Event_Time"]]),
Event_Time = as.numeric(.data[["Event_Time"]]),
Event_Type = ifelse(stringr::str_detect(tolower(.data[["events_string"]]), "penalty"), "Penalty",
ifelse(stringr::str_detect(tolower(.data[["events_string"]]), "own goal"), "Own Goal",
gsub(".* [^\x20-\x7E] ", "", .data[["events_string"]]) %>% gsub("[[:digit:]]:[[:digit:]]", "", .))) %>% stringr::str_squish(),
Event_Players = gsub(".*\\;", "", .data[["events_string"]]) %>% gsub(" [^\x20-\x7E] .*", "", .),
Score_Progression = stringr::str_extract(.data[["Event_Players"]], "[[:digit:]]:[[:digit:]]"),
Event_Players = gsub("[[:digit:]]:[[:digit:]]", "", .data[["Event_Players"]]) %>% stringr::str_squish(),
Penalty_Number = dplyr::case_when(
.data[["Is_Pens"]] ~ gsub("([0-9]+).*$", "\\1", .data[["Event_Players"]]),
TRUE ~ NA_character_
),
Penalty_Number = as.numeric(.data[["Penalty_Number"]]),
Event_Players = gsub("[[:digit:]]+\\s", "", .data[["Event_Players"]]),
Event_Type = ifelse(.data[["Is_Pens"]], "Penalty Shootout", .data[["Event_Type"]])) %>%
dplyr::select(-.data[["events_string"]]) %>%
dplyr::arrange(.data[["Event_Half"]], .data[["Event_Time"]])
events_df <- cbind(match_report, events_df)
} else {
events_df <- data.frame()
}
} else {
print(glue::glue("Match Summary not available for {match_url}"))
events_df <- data.frame()
}
return(events_df)
}
# create the progress bar with a progress function.
pb <- progress::progress_bar$new(total = length(match_url))
all_events_df <- match_url %>%
purrr::map_df(get_each_match_summary)
return(all_events_df)
}
#' Get match summary
#'
#' Returns match summary data for selected match URLs, including goals, subs and cards
#'
#' @param match_url the fbref.com URL for the required match
#' @param time_pause the wait time (in seconds) between page loads
#'
#' @return returns a dataframe with the match events (goals, cards, subs) for selected matches
#'
#' @importFrom magrittr %>%
#' @importFrom rlang .data
#'
#' @export
#'
#' @examples
#' \dontrun{
#' try({
#' match <- get_match_urls(country = "AUS", gender = "F", season_end_year = 2021, tier = "1st")[1]
#' df <- get_match_summary(match_url = match)
#' })
#' }
#'
get_match_summary <- function(match_url, time_pause=3) {
.Deprecated("fb_match_summary")
time_wait <- time_pause
get_each_match_summary <- function(match_url, time_pause=time_wait) {
pb$tick()
# put sleep in as per new user agreement on FBref
Sys.sleep(time_pause)
each_game_page <- tryCatch(xml2::read_html(match_url), error = function(e) NA)
if(!is.na(each_game_page)) {
match_report <- .get_match_report_page(match_page = each_game_page)
Home_Team <- tryCatch(each_game_page %>% rvest::html_nodes("div:nth-child(1) div strong a") %>% rvest::html_text() %>% .[1], error = function(e) NA)
Away_Team <- tryCatch(each_game_page %>% rvest::html_nodes("div:nth-child(1) div strong a") %>% rvest::html_text() %>% .[2], error = function(e) NA)
events <- each_game_page %>% rvest::html_nodes("#events_wrap")
events_home <- events %>% rvest::html_nodes(".a") %>% rvest::html_text() %>% stringr::str_squish()
events_away <- events %>% rvest::html_nodes(".b") %>% rvest::html_text() %>% stringr::str_squish()
home_events <- tryCatch(data.frame(Team=Home_Team, Home_Away="Home", events_string=events_home), error = function(e) data.frame())
away_events <- tryCatch(data.frame(Team=Away_Team, Home_Away="Away", events_string=events_away), error = function(e) data.frame())
events_df <- dplyr::bind_rows(home_events, away_events)
if(nrow(events_df) > 0) {
events_df <- events_df %>%
dplyr::mutate(Event_Time = gsub("&rsquor.*", "", .data[["events_string"]])) %>%
dplyr::mutate(Is_Pens = stringr::str_detect(.data[["Event_Time"]], "[A-Z]"))
suppressWarnings(
events_df <- events_df %>%
dplyr::mutate(Event_Half = dplyr::case_when(
!.data[["Is_Pens"]] & as.numeric(gsub("\\+.*", "", .data[["Event_Time"]])) <= 45 ~ 1,
!.data[["Is_Pens"]] & dplyr::between(as.numeric(gsub("\\+.*", "", .data[["Event_Time"]])), 46, 90) ~ 2,
!.data[["Is_Pens"]] & dplyr::between(as.numeric(gsub("\\+.*", "", .data[["Event_Time"]])), 91, 105) ~ 3,
!.data[["Is_Pens"]] & dplyr::between(as.numeric(gsub("\\+.*", "", .data[["Event_Time"]])), 106, 120) ~ 4,
TRUE ~ 5
))
)
events_df <- events_df %>%
dplyr::mutate(Event_Time = gsub("&rsquor.*", "", .data[["events_string"]]) %>% ifelse(stringr::str_detect(., "\\+"), (as.numeric(gsub("\\+.*", "", .)) + as.numeric(gsub(".*\\+", "", .))), .),
Event_Time = ifelse(.data[["Is_Pens"]], 121, .data[["Event_Time"]]),
Event_Time = as.numeric(.data[["Event_Time"]]),
Event_Type = ifelse(stringr::str_detect(tolower(.data[["events_string"]]), "penalty"), "Penalty",
ifelse(stringr::str_detect(tolower(.data[["events_string"]]), "own goal"), "Own Goal",
gsub(".* [^\x20-\x7E] ", "", .data[["events_string"]]) %>% gsub("[[:digit:]]:[[:digit:]]", "", .))) %>% stringr::str_squish(),
Event_Players = gsub(".*\\;", "", .data[["events_string"]]) %>% gsub(" [^\x20-\x7E] .*", "", .),
Score_Progression = stringr::str_extract(.data[["Event_Players"]], "[[:digit:]]:[[:digit:]]"),
Event_Players = gsub("[[:digit:]]:[[:digit:]]", "", .data[["Event_Players"]]) %>% stringr::str_squish(),
Penalty_Number = dplyr::case_when(
.data[["Is_Pens"]] ~ gsub("([0-9]+).*$", "\\1", .data[["Event_Players"]]),
TRUE ~ NA_character_
),
Penalty_Number = as.numeric(.data[["Penalty_Number"]]),
Event_Players = gsub("[[:digit:]]+\\s", "", .data[["Event_Players"]]),
Event_Type = ifelse(.data[["Is_Pens"]], "Penalty Shootout", .data[["Event_Type"]])) %>%
dplyr::select(-.data[["events_string"]]) %>%
dplyr::arrange(.data[["Event_Half"]], .data[["Event_Time"]])
events_df <- cbind(match_report, events_df)
} else {
events_df <- data.frame()
}
} else {
print(glue::glue("Match Summary not available for {match_url}"))
events_df <- data.frame()
}
return(events_df)
}
# create the progress bar with a progress function.
pb <- progress::progress_bar$new(total = length(match_url))
all_events_df <- match_url %>%
purrr::map_df(get_each_match_summary)
seasons <- read.csv("https://raw.githubusercontent.com/JaseZiv/worldfootballR_data/master/raw-data/all_leages_and_cups/all_competitions.csv", stringsAsFactors = F)
seasons <- seasons %>%
dplyr::filter(.data[["seasons_urls"]] %in% all_events_df$League_URL) %>%
dplyr::select(League=.data[["competition_name"]], Gender=.data[["gender"]], Country=.data[["country"]], Season=.data[["seasons"]], League_URL=.data[["seasons_urls"]])
all_events_df <- seasons %>%
dplyr::left_join(all_events_df, by = "League_URL") %>%
dplyr::select(-.data[["League_URL"]]) %>% dplyr::distinct(.keep_all = T)
return(all_events_df)
}