R package to get price and stats of FIFA Ultimate Team players in Futbin for all platforms (PS4/XBox One/PC).
This package is available only on GitHub. To install it, use the
devtools package:
library(devtools)
install_github("danielredondo/rfutbin")
library(rfutbin)library(rfutbin)futbin_search(name = "Lionel Messi")
#> # A tibble: 9 x 23
#> name rating position version price skills weak_foot pac sho pas dri
#> <chr> <int> <chr> <chr> <dbl> <int> <int> <int> <int> <int> <int>
#> 1 Lione~ 99 RW Summer~ 8.53e5 4 4 96 99 98 99
#> 2 Lione~ 99 CAM Futtie~ 6.85e5 5 4 98 99 99 99
#> 3 Lione~ 98 RW TOTY 7.06e5 4 4 93 98 97 99
#> 4 Lione~ 98 ST TOTS 2.9 e5 4 4 91 99 96 99
#> 5 Lione~ 96 CF LaLiga~ 1.71e6 4 4 90 96 95 98
#> 6 Lione~ 95 CF TOTGS 9.05e4 4 4 88 95 94 97
#> 7 Lione~ 94 CF IF 1.1 e5 4 4 86 94 93 96
#> 8 Lione~ 93 RW Rare 4.58e4 4 4 85 92 91 95
#> 9 Lione~ 93 RW CL 5.2 e4 4 4 85 92 91 95
#> # ... with 12 more variables: def <int>, phy <int>, hei <chr>,
#> # popularity <int>, base_stats <int>, in_game_stats <int>, wr_attack <chr>,
#> # wr_defense <chr>, wei <chr>, team <chr>, nation <chr>, league <chr>futbin_search(name = "Lionel Messi", platform = "xone")
#> # A tibble: 9 x 23
#> name rating position version price skills weak_foot pac sho pas dri
#> <chr> <int> <chr> <chr> <dbl> <int> <int> <int> <int> <int> <int>
#> 1 Lione~ 99 RW Summer~ 8.97e5 4 4 96 99 98 99
#> 2 Lione~ 99 CAM Futtie~ 7.34e5 5 4 98 99 99 99
#> 3 Lione~ 98 RW TOTY 6.45e5 4 4 93 98 97 99
#> 4 Lione~ 98 ST TOTS 3.1 e5 4 4 91 99 96 99
#> 5 Lione~ 96 CF LaLiga~ 1.59e6 4 4 90 96 95 98
#> 6 Lione~ 95 CF TOTGS 1.19e5 4 4 88 95 94 97
#> 7 Lione~ 94 CF IF 1.81e5 4 4 86 94 93 96
#> 8 Lione~ 93 RW Rare 5.1 e4 4 4 85 92 91 95
#> 9 Lione~ 93 RW CL 6.3 e4 4 4 85 92 91 95
#> # ... with 12 more variables: def <int>, phy <int>, hei <chr>,
#> # popularity <int>, base_stats <int>, in_game_stats <int>, wr_attack <chr>,
#> # wr_defense <chr>, wei <chr>, team <chr>, nation <chr>, league <chr>
futbin_search(name = "Lionel Messi", platform = "pc")
#> # A tibble: 9 x 23
#> name rating position version price skills weak_foot pac sho pas dri
#> <chr> <int> <chr> <chr> <dbl> <int> <int> <int> <int> <int> <int>
#> 1 Lione~ 99 RW Summer~ 1.5 e6 4 4 96 99 98 99
#> 2 Lione~ 99 CAM Futtie~ 7.67e5 5 4 98 99 99 99
#> 3 Lione~ 98 RW TOTY 1.24e6 4 4 93 98 97 99
#> 4 Lione~ 98 ST TOTS 3.3 e5 4 4 91 99 96 99
#> 5 Lione~ 96 CF LaLiga~ 1.93e6 4 4 90 96 95 98
#> 6 Lione~ 95 CF TOTGS 1.43e5 4 4 88 95 94 97
#> 7 Lione~ 94 CF IF 1.8 e5 4 4 86 94 93 96
#> 8 Lione~ 93 RW Rare 7.35e4 4 4 85 92 91 95
#> 9 Lione~ 93 RW CL 8.4 e4 4 4 85 92 91 95
#> # ... with 12 more variables: def <int>, phy <int>, hei <chr>,
#> # popularity <int>, base_stats <int>, in_game_stats <int>, wr_attack <chr>,
#> # wr_defense <chr>, wei <chr>, team <chr>, nation <chr>, league <chr>futbin_search(name = c("Lionel Messi", "Cristiano Ronaldo"))
#> # A tibble: 19 x 23
#> name rating position version price skills weak_foot pac sho pas dri
#> <chr> <int> <chr> <chr> <dbl> <int> <int> <int> <int> <int> <int>
#> 1 Lion~ 99 RW Summer~ 8.53e5 4 4 96 99 98 99
#> 2 Lion~ 99 CAM Futtie~ 6.85e5 5 4 98 99 99 99
#> 3 Lion~ 98 RW TOTY 7.06e5 4 4 93 98 97 99
#> 4 Lion~ 98 ST TOTS 2.9 e5 4 4 91 99 96 99
#> 5 Lion~ 96 CF LaLiga~ 1.71e6 4 4 90 96 95 98
#> 6 Lion~ 95 CF TOTGS 9.05e4 4 4 88 95 94 97
#> 7 Lion~ 94 CF IF 1.1 e5 4 4 86 94 93 96
#> 8 Lion~ 93 RW Rare 4.58e4 4 4 85 92 91 95
#> 9 Lion~ 93 RW CL 5.2 e4 4 4 85 92 91 95
#> 10 Cris~ 99 ST Summer~ 7 e5 5 4 96 99 92 98
#> 11 Cris~ 99 ST Premiu~ 1.01e6 5 5 98 99 95 99
#> 12 Cris~ 98 ST TOTY 4.45e5 5 4 96 98 89 96
#> 13 Cris~ 98 ST TOTS 4.15e5 5 4 95 99 90 95
#> 14 Cris~ 95 ST TIF 3.1 e5 5 4 92 96 87 93
#> 15 Cris~ 94 ST SIF 9.5 e5 5 4 91 95 85 92
#> 16 Cris~ 93 ST IF 2.34e5 5 4 90 94 83 91
#> 17 Cris~ 92 ST Rare 6.15e4 5 4 89 93 81 89
#> 18 Cris~ 92 ST CL 5.9 e4 5 4 89 93 81 89
#> 19 Cris~ 87 RW Flashb~ 3.34e5 5 3 91 79 75 86
#> # ... with 12 more variables: def <int>, phy <int>, hei <chr>,
#> # popularity <int>, base_stats <int>, in_game_stats <int>, wr_attack <chr>,
#> # wr_defense <chr>, wei <chr>, team <chr>, nation <chr>, league <chr># Lewandowski rare card
futbin_search(name = "Lewandowski", version = "Rare")
#> # A tibble: 1 x 23
#> name rating position version price skills weak_foot pac sho pas dri
#> <chr> <int> <chr> <chr> <dbl> <int> <int> <int> <int> <int> <int>
#> 1 Robert~ 91 ST Rare 25250 4 4 78 91 78 86
#> # ... with 12 more variables: def <int>, phy <int>, hei <chr>,
#> # popularity <int>, base_stats <int>, in_game_stats <int>, wr_attack <chr>,
#> # wr_defense <chr>, wei <chr>, team <chr>, nation <chr>, league <chr># Luis Suarez One to watch (OTW)
futbin_search(name = "Luis Suarez", version = "OTW")
#> # A tibble: 1 x 23
#> name rating position version price skills weak_foot pac sho pas dri
#> <chr> <int> <chr> <chr> <dbl> <int> <int> <int> <int> <int> <int>
#> 1 Luis S~ 90 ST OTW 31000 3 4 75 94 87 88
#> # ... with 12 more variables: def <int>, phy <int>, hei <chr>,
#> # popularity <int>, base_stats <int>, in_game_stats <int>, wr_attack <chr>,
#> # wr_defense <chr>, wei <chr>, team <chr>, nation <chr>, league <chr># Grealish In-Form (IF) showing verbose
futbin_search(name = "Grealish", version = "IF", verbose = TRUE)
#> [1] "Reading... https://www.futbin.com/21/players?page=1&search=grealish"
#> [1] "Player(s) found: 1"
#> # A tibble: 1 x 23
#> name rating position version price skills weak_foot pac sho pas dri
#> <chr> <int> <chr> <chr> <dbl> <int> <int> <int> <int> <int> <int>
#> 1 Jack G~ 83 LM IF 29750 4 3 80 77 84 87
#> # ... with 12 more variables: def <int>, phy <int>, hei <chr>,
#> # popularity <int>, base_stats <int>, in_game_stats <int>, wr_attack <chr>,
#> # wr_defense <chr>, wei <chr>, team <chr>, nation <chr>, league <chr># All Aston Villa players -> To get the URL, go to futbin.com/players and filter
aston_villa <- futbin_scrap(url = "https://www.futbin.com/players?page=1&club=2")
#> [1] "Reading... https://www.futbin.com/players?page=1&club=2"
#> [1] "Player(s) found: 30"
#> [1] "Reading... https://www.futbin.com/players?page=2&club=2"
#> [1] "Player(s) found: 45"
#> [1] "Reading... https://www.futbin.com/players?page=3&club=2"
#> [1] "Player(s) found: 45"
head(aston_villa)
#> # A tibble: 6 x 23
#> name rating position version price skills weak_foot pac sho pas dri
#> <chr> <int> <chr> <chr> <dbl> <int> <int> <int> <int> <int> <int>
#> 1 Jack ~ 95 LW FOF PT~ 246500 4 3 97 94 97 99
#> 2 Jack ~ 87 CAM TOTY H~ 0 4 3 85 83 89 91
#> 3 Ollie~ 84 ST SIF 35000 3 4 90 84 77 82
#> 4 Emili~ 84 GK SIF 136000 1 3 85 86 84 86
#> 5 Jack ~ 83 LM IF 29750 4 3 80 77 84 87
#> 6 Emili~ 82 GK IF 0 1 3 82 84 82 83
#> # ... with 12 more variables: def <int>, phy <int>, hei <chr>,
#> # popularity <int>, base_stats <int>, in_game_stats <int>, wr_attack <chr>,
#> # wr_defense <chr>, wei <chr>, team <chr>, nation <chr>, league <chr># All English players in Bundesliga -> To get the URL, go to futbin.com/players and filter
futbin_scrap(url = "https://www.futbin.com/21/players?page=1&league=19&nation=14")
#> [1] "Reading... https://www.futbin.com/21/players?page=1&league=19&nation=14"
#> [1] "Player(s) found: 17"
#> [1] "Reading... https://www.futbin.com/21/players?page=2&league=19&nation=14"
#> [1] "Player(s) found: 17"
#> # A tibble: 17 x 23
#> name rating position version price skills weak_foot pac sho pas dri
#> <chr> <int> <chr> <chr> <dbl> <int> <int> <int> <int> <int> <int>
#> 1 Jado~ 96 RM TOTS 23500 5 4 96 94 93 98
#> 2 Jado~ 92 RM What If 20000 5 3 91 87 86 95
#> 3 Jude~ 91 CM TOTS M~ 219900 4 4 88 87 89 89
#> 4 Dema~ 90 LW ShowDo~ 199850 4 4 96 89 86 96
#> 5 Jado~ 89 LM Bundes~ 134500 5 3 87 78 83 93
#> 6 Jado~ 88 RM Record~ 71000 5 3 87 83 82 91
#> 7 Jado~ 87 RM Rare 23000 5 3 83 74 81 91
#> 8 Jado~ 87 RM CL 24500 5 3 83 74 81 91
#> 9 Ryan~ 87 LM Object~ 0 4 4 92 84 84 88
#> 10 Ryan~ 75 LM non-ra~ 8800 4 3 86 67 69 75
#> 11 Dema~ 75 LM non-ra~ 1300 4 3 87 68 67 80
#> 12 Adem~ 74 RM Rare 5000 3 4 82 72 66 80
#> 13 Omar~ 70 LB non-ra~ 8900 3 3 82 45 55 68
#> 14 Jude~ 69 CM Non-Ra~ 2500 3 4 77 65 64 73
#> 15 Reec~ 66 CB Non-Ra~ 700 2 3 67 33 52 56
#> 16 Clin~ 66 LB Non-Ra~ 7400 2 3 68 40 63 64
#> 17 Kean~ 63 LM Rare 4400 2 4 75 59 58 66
#> # ... with 12 more variables: def <int>, phy <int>, hei <chr>,
#> # popularity <int>, base_stats <int>, in_game_stats <int>, wr_attack <chr>,
#> # wr_defense <chr>, wei <chr>, team <chr>, nation <chr>, league <chr>players <- futbin_search(name = c("Van Dijk", "Lionel Messi"), version = "Rare")
futbin_plot(players)
some_goalkeepers <- futbin_search(name = c("De Gea", "Kepa", "Hugo Lloris"), version = "Rare")
futbin_plot(some_goalkeepers, gk = TRUE)
futbin_search searchs players in Futbin. It has the following
parameters:
-
name. Optional. Vector with the names of the players. If not specified, it will report the 30 highest-rated players of the game. -
platform. Platform to get the prices from. Default isps4. Other options arexone(XBox One) andpc. -
version. Optional. Version of the cards. Some options are “Rare”, “Non-Rare”, “IF” (In-Form), “SIF” (Second In-Form), … -
verbose. Optional. To show additional messages (webpage scraped and number of players found).
The output of the function is a dataframe with all the players found
searching for name and version.
futbin_scrap extracts all players of a Futbin URL. It has the
following parameters:
-
url. Futbin URL to web scrap. Futbin webpage (https://www.futbin.com/players) can be used to make customised filters, and then copy the URL here. All the players found in the URL (and the next pages) will be automatically detected and downloaded. -
platform. Platform to get the prices from. Default isps4. Other options arexone(XBox One) andpc. -
sleep_time. Time (in seconds) ellapsed between scraping one page and the next one. Please respect Futbin API. -
verbose. Optional. To show additional verbose about webpage used and number of players found.
The output of the function is a dataframe with all the players found at the URL.
futbin_plot makes an interactive radar plot of the stats of the
players. It has the following parameters:
-
dfdataframe generated with columnspac,sho,pas,dri,def,phy. This dataframe can be obtained from functionfutbin_search. -
gkOptional. IfTRUE, the labels of the plot are the main stats for goalkeepers: diving, handling, kicking, reflexes, speed and position.
The output of the function is an interactive radar plot of the stats.
If you use this package, you can cite it as:
Redondo-Sanchez, Daniel (2021). rfutbin (v1.0.2): R package to get price and stats of FIFA Ultimate Team players in Futbin. https://github.com/danielredondo/rfutbin