understatr
1.0.0
一个 R 包，可帮助检索整洁的底层数据。
understatr不太可能提交给 CRAN。从 GitHub 获取最新的开发版本：
remotes :: install_github( ' ewenme/understatr ' )library( understatr )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 rowsget_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>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> 如果您遇到明显的错误，请在 GitHub 上提交一个最小的可重现示例。对于问题和其他讨论，请尝试使用 stackoverflow 或电子邮件。
虽然该网站上没有纵容网络抓取活动的官方通知，但 Understat 的支持人员此前已确认（通过电子邮件交换，2018 年 11 月 8 日）他们的数据可免费用于非商业目的。这一立场可能会发生变化。
另外，要有礼貌并注明来源。
请注意，该项目是随贡献者行为准则一起发布的。参与该项目即表示您同意遵守其条款。
