Tony ElHabr tonyelhabr

Raw data pull

library(StatsBombR)
library(worldfootballR)
library(dplyr)
library(janitor)
library(tibble)

library(httr)
library(tibble)
library(tidyr)
library(dplyr)
library(purrr)
library(janitor)
library(cli)
library(stringr)

season	week	user_name	opponent_user_name	user_score	opponent_score	result
2018	1	Juan Avalos	Manuel Espinosa	137.84	86.26	W
2018	1	Manuel Espinosa	Juan Avalos	86.26	137.84	L
2018	1	Enrique Rodriguez	Tracy Krohn	123.14	121.78	W
2018	1	Steven Valencia	Juan Pineda	134.54	86.2	W
2018	1	Andrew ElHabr	Andrew Lara	106.26	102.06	W
2018	1	Drake Hernandez	Tony ElHabr	131.04	123.42	W
2018	1	Tony ElHabr	Drake Hernandez	123.42	131.04	L
2018	1	Andrew Lara	Andrew ElHabr	102.06	106.26	L
2018	1	Tracy Krohn	Enrique Rodriguez	121.78	123.14	L

This is my attempt to replicate the analysis by Laurie Shaw here.

Creating some fake data.

library(tibble)
library(purrr)
library(tidyr)
library(MASS)
library(ggplot2)

library(readr)
library(dplyr)
opta_club_rankings <- read_csv('https://github.com/tonyelhabr/club-rankings/releases/download/club-rankings/opta-club-rankings.csv')
opta_club_rankings |> 
  filter(updated_at == max(updated_at))
#> # A tibble: 3,000 × 7
#>     rank team              rating `ranking change 7 days` date       updated_at          id                       
#>    <dbl> <chr>              <dbl>                   <dbl> <date>     <dttm>              <chr>

library(worldfootballR)
library(dplyr)
library(stringr)
library(readr)
library(purrr)
library(janitor)

# https://fbref.com/en/matches/a6ff9cf9/Chelsea-Norwich-City-October-23-2021-Premier-League

Data source

library(httr)
library(tibble)
library(purrr)
library(readr)
library(dplyr)

Scraping a specific stat for this match. Inspiration here. You can get other player stats in a similar fashion.

library(httr)
library(tibble)
library(tidyr)
library(dplyr)
library(purrr)
library(janitor)

Heart Disease and Stroke

For example, this.

library(httr)
library(tibble)
library(tidyr)
library(dplyr)

suppressPackageStartupMessages({
  library(worldfootballR)
  library(dplyr)
  library(lubridate)
})

## Need the very most recent version of the package for `load_fotmob_match_details()` to work.
packageVersion("worldfootballR")