understatr

mengecilkan

Ringkasan

Paket R untuk membantu mengambil data understat yang rapi.

Memasang

understatr kemungkinan besar tidak akan dikirimkan ke CRAN. Dapatkan versi pengembangan terbaru dari GitHub:

 remotes :: install_github( ' ewenme/understatr ' )

Menggunakan

library( understatr )

Periksa liga/musim yang tersedia saat ini:

get_leagues_meta()
# > # A tibble: 48 × 4
# >    league_name  year season    url                                        
# >    <chr>       <dbl> <chr>     <chr>                                      
# >  1 EPL          2021 2021/2022 https://understat.com/league/EPL/2021      
# >  2 EPL          2020 2020/2021 https://understat.com/league/EPL/2020      
# >  3 EPL          2019 2019/2020 https://understat.com/league/EPL/2019      
# >  4 EPL          2018 2018/2019 https://understat.com/league/EPL/2018      
# >  5 EPL          2017 2017/2018 https://understat.com/league/EPL/2017      
# >  6 EPL          2016 2016/2017 https://understat.com/league/EPL/2016      
# >  7 EPL          2015 2015/2016 https://understat.com/league/EPL/2015      
# >  8 EPL          2014 2014/2015 https://understat.com/league/EPL/2014      
# >  9 La liga      2021 2021/2022 https://understat.com/league/La%20liga/2021
# > 10 La liga      2020 2020/2021 https://understat.com/league/La%20liga/2020
# > # … with 38 more rows

Dapatkan statistik skuad bermain tim di musim liga:

get_team_players_stats( team_name = " Manchester City " , year = 2018 )
# > 
# > ── Column specification ────────────────────────────────────────────────────────
# > cols(
# >   player_id = col_double(),
# >   player_name = col_character(),
# >   games = col_double(),
# >   time = col_double(),
# >   goals = col_double(),
# >   xG = col_double(),
# >   assists = col_double(),
# >   xA = col_double(),
# >   shots = col_double(),
# >   key_passes = col_double(),
# >   yellow_cards = col_double(),
# >   red_cards = col_double(),
# >   position = col_character(),
# >   team_name = col_character(),
# >   npg = col_double(),
# >   npxG = col_double(),
# >   xGChain = col_double(),
# >   xGBuildup = col_double()
# > )
# > # A tibble: 21 × 19
# >    player_id player_name     games  time goals    xG assists     xA shots key_passes
# >        <dbl> <chr>           <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl> <dbl>      <dbl>
# >  1       619 Sergio Agüero      33  2515    21 19.9        8  5.23    118         34
# >  2       618 Raheem Sterling    34  2788    17 15.9       10 10.8      77         66
# >  3       337 Leroy Sané         31  1866    10  6.98      10  8.10     56         40
# >  4       750 Riyad Mahrez       27  1333     7  6.62       4  5.01     54         24
# >  5      3635 Bernardo Silva     36  2851     7  8.20       7  8.63     62         71
# >  6      5543 Gabriel Jesus      29   993     7 12.6        3  2.65     43         21
# >  7       314 Ilkay Gündogan     31  2133     6  4.21       3  4.97     43         43
# >  8       617 David Silva        33  2426     6  8.13       8 10.1      51         73
# >  9      2498 Aymeric Laporte    35  3059     3  3.75       3  0.839    26         13
# > 10       447 Kevin De Bruyne    19   965     2  1.47       2  6.65     31         36
# > # … with 11 more rows, and 9 more variables: yellow_cards <dbl>,
# > #   red_cards <dbl>, position <chr>, team_name <chr>, npg <dbl>, npxG <dbl>,
# > #   xGChain <dbl>, xGBuildup <dbl>, year <dbl>

Dapatkan statistik pemain di semua musim:

get_player_seasons_stats( player_id = 618 )
# > 
# > ── Column specification ────────────────────────────────────────────────────────
# > cols(
# >   position = col_character(),
# >   games = col_double(),
# >   goals = col_double(),
# >   shots = col_double(),
# >   time = col_double(),
# >   xG = col_double(),
# >   assists = col_double(),
# >   xA = col_double(),
# >   key_passes = col_double(),
# >   year = col_double(),
# >   team_name = col_character(),
# >   yellow = col_double(),
# >   red = col_double(),
# >   npg = col_double(),
# >   npxG = col_double(),
# >   xGChain = col_double(),
# >   xGBuildup = col_double(),
# >   player_name = col_character()
# > )
# > # A tibble: 8 × 19
# >   position games goals shots  time    xG assists     xA key_passes  year
# >   <chr>    <dbl> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>      <dbl> <dbl>
# > 1 FWL          3     1     7   128  1.71       0  0.111          1  2021
# > 2 AML         31    10    70  2539 12.1        7  6.63          39  2020
# > 3 FWL         33    20   100  2678 19.8        1  7.21          48  2019
# > 4 AML         34    17    77  2788 15.9       10 10.8           66  2018
# > 5 Sub         33    18    87  2594 18.8       11  8.84          55  2017
# > 6 AMR         33     7    64  2532  8.11       6  5.50          46  2016
# > 7 AML         31     6    52  1943  7.15       2  3.25          35  2015
# > 8 AML         35     7    84  3059  8.79       7  6.04          75  2014
# > # … with 9 more variables: team_name <chr>, yellow <dbl>, red <dbl>, npg <dbl>,
# > #   npxG <dbl>, xGChain <dbl>, xGBuildup <dbl>, player_id <dbl>,
# > #   player_name <chr> 

Masalah

Jika Anda menemukan bug yang jelas, harap ajukan contoh minimal yang dapat direproduksi di GitHub. Untuk pertanyaan dan diskusi lainnya, coba stackoverflow atau email.

Penafian

Meskipun tidak ada pemberitahuan resmi di situs yang mengizinkan aktivitas web scraping, dukungan Understat sebelumnya telah mengonfirmasi (melalui pertukaran email, 8 November 2018) bahwa data mereka bebas digunakan untuk tujuan non-komersial. Pendirian ini dapat berubah.

Juga, bersikaplah sopan dan sebutkan sumbernya.

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