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An R wrapper for the Sportmonks Soccer API www.sportmonks.com
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R
tests
.Rbuildignore
.gitignore
DESCRIPTION
NAMESPACE
README.Rmd
README.md
sportmonks.Rproj

README.md

sportmonks

Install via

devtools::install_github("systats/sportmonks")
library(sportmonks)

Set key

key <- read_json("tests/settings.json")[[1]]
Sys.setenv(sportmonks = key)
#Sys.getenv("sportmonks")

Endpoints

Continents

get_continents()
## # A tibble: 7 x 2
##      id name         
##   <int> <chr>        
## 1     1 Europe       
## 2     2 Asia         
## 3     3 Africa       
## 4     4 Oceania      
## 5     5 Antarctica   
## 6     6 North America
## 7     7 South America
get_continent(1)
## # A tibble: 1 x 2
##      id name  
##   <int> <chr> 
## 1     1 Europe

Country

get_countries()
## # A tibble: 50 x 11
##       id name  extra_continent extra_sub_region extra_world_reg… extra_fifa
##    <int> <chr> <chr>           <chr>            <chr>            <chr>     
##  1     2 Pola… Europe          Eastern Europe   EMEA             POL       
##  2     5 Braz… Americas        South America    AMER             BRA       
##  3    11 Germ… Europe          Western Europe   EMEA             GER       
##  4    17 Fran… Europe          Western Europe   EMEA             FRA       
##  5    20 Port… Europe          Southern Europe  EMEA             POR       
##  6    23 Côte… Africa          Western Africa   EMEA             CIV       
##  7    26 Mali  Africa          Western Africa   EMEA             MLI       
##  8    32 Spain Europe          Southern Europe  EMEA             ESP       
##  9    38 Neth… Europe          Western Europe   EMEA             NED       
## 10    41 Euro… <NA>            <NA>             <NA>             <NA>      
## # … with 40 more rows, and 5 more variables: extra_iso <chr>,
## #   extra_iso2 <chr>, extra_longitude <chr>, extra_latitude <chr>,
## #   extra_flag <chr>
get_country(2)
## # A tibble: 1 x 2
##      id name 
##   <int> <chr>
## 1     2 Asia

Leagues

get_leagues()
## # A tibble: 2 x 12
##      id legacy_id country_id logo_path name  is_cup current_season_…
##   <int>     <int>      <int> <chr>     <chr> <lgl>             <int>
## 1   271        43        320 https://… Supe… FALSE             12919
## 2   501        66       1161 https://… Prem… FALSE             12963
## # … with 5 more variables: current_stage_id <int>, live_standings <lgl>,
## #   coverage_topscorer_goals <lgl>, coverage_topscorer_assists <lgl>,
## #   coverage_topscorer_cards <lgl>
get_league(271)
## # A tibble: 1 x 12
##      id legacy_id country_id logo_path name  is_cup current_season_…
##   <int>     <int>      <int> <chr>     <chr> <lgl>             <int>
## 1   271        43        320 https://… Supe… FALSE             12919
## # … with 5 more variables: current_stage_id <int>, live_standings <lgl>,
## #   coverage_topscorer_goals <lgl>, coverage_topscorer_assists <lgl>,
## #   coverage_topscorer_cards <lgl>

Seasons

get_seasons()
## # A tibble: 28 x 6
##       id name  league_id is_current_seas… current_stage_id current_round_id
##    <int> <chr>     <int> <lgl>                       <int>            <int>
##  1  1273 2005…       271 FALSE                          NA               NA
##  2  1274 2006…       271 FALSE                          NA               NA
##  3  1275 2007…       271 FALSE                          NA               NA
##  4  1276 2008…       271 FALSE                          NA               NA
##  5  1277 2009…       271 FALSE                          NA               NA
##  6  1278 2010…       271 FALSE                          NA               NA
##  7  1279 2011…       271 FALSE                          NA               NA
##  8  1280 2012…       271 FALSE                          NA               NA
##  9  1281 2013…       271 FALSE                          NA               NA
## 10  1282 2014…       271 FALSE                          NA               NA
## # … with 18 more rows
get_season(1273)
## # A tibble: 1 x 4
##      id name      league_id is_current_season
##   <int> <chr>         <int> <lgl>            
## 1  1273 2005/2006       271 FALSE

Fixtures

get_fixture(id = 10333321)
## # A tibble: 1 x 45
##       id league_id season_id stage_id round_id venue_id referee_id
##    <int>     <int>     <int>    <int>    <int>    <int>      <int>
## 1 1.03e7       501     12963  7508262   147767     8928      14468
## # … with 38 more variables: localteam_id <int>, visitorteam_id <int>,
## #   weather_report_code <chr>, weather_report_type <chr>,
## #   weather_report_icon <chr>, weather_report_temperature_temp <dbl>,
## #   weather_report_temperature_unit <chr>, weather_report_clouds <chr>,
## #   weather_report_humidity <chr>, weather_report_wind_speed <chr>,
## #   weather_report_wind_degree <int>, commentaries <lgl>, pitch <chr>,
## #   winning_odds_calculated <lgl>, formations_localteam_formation <chr>,
## #   formations_visitorteam_formation <chr>, scores_localteam_score <int>,
## #   scores_visitorteam_score <int>, scores_ht_score <chr>,
## #   scores_ft_score <chr>, time_status <chr>,
## #   time_starting_at_date_time <chr>, time_starting_at_date <chr>,
## #   time_starting_at_time <chr>, time_starting_at_timestamp <int>,
## #   time_starting_at_timezone <chr>, time_minute <int>,
## #   time_added_time <int>, time_injury_time <int>,
## #   coaches_localteam_coach_id <int>, coaches_visitorteam_coach_id <int>,
## #   standings_localteam_position <int>,
## #   standings_visitorteam_position <int>,
## #   assistants_first_assistant_id <int>,
## #   assistants_second_assistant_id <int>,
## #   assistants_fourth_official_id <int>, leg <chr>, deleted <lgl>
get_fixtures(ids = c(10333321, 10333322))
## # A tibble: 2 x 46
##       id league_id season_id stage_id round_id venue_id referee_id
##    <int>     <int>     <int>    <int>    <int>    <int>      <int>
## 1 1.03e7       501     12963  7508262   147767     8928      14468
## 2 1.03e7       501     12963  7508262   147767     8909      15815
## # … with 39 more variables: localteam_id <int>, visitorteam_id <int>,
## #   weather_report_code <chr>, weather_report_type <chr>,
## #   weather_report_icon <chr>, weather_report_temperature_temp <dbl>,
## #   weather_report_temperature_unit <chr>, weather_report_clouds <chr>,
## #   weather_report_humidity <chr>, weather_report_wind_speed <chr>,
## #   weather_report_wind_degree <int>, commentaries <lgl>, pitch <chr>,
## #   winning_odds_calculated <lgl>, formations_localteam_formation <chr>,
## #   formations_visitorteam_formation <chr>, scores_localteam_score <int>,
## #   scores_visitorteam_score <int>, scores_ht_score <chr>,
## #   scores_ft_score <chr>, time_status <chr>,
## #   time_starting_at_date_time <chr>, time_starting_at_date <chr>,
## #   time_starting_at_time <chr>, time_starting_at_timestamp <int>,
## #   time_starting_at_timezone <chr>, time_minute <int>,
## #   time_added_time <int>, time_injury_time <int>,
## #   coaches_localteam_coach_id <int>, coaches_visitorteam_coach_id <int>,
## #   standings_localteam_position <int>,
## #   standings_visitorteam_position <int>,
## #   assistants_first_assistant_id <int>,
## #   assistants_second_assistant_id <int>,
## #   assistants_fourth_official_id <int>, leg <chr>, deleted <lgl>,
## #   winner_team_id <int>
get_fixture(date = "2019-01-23")
## # A tibble: 6 x 47
##       id league_id season_id stage_id round_id venue_id referee_id
##    <int>     <int>     <int>    <int>    <int>    <int>      <int>
## 1 1.03e7       501     12963  7508262   147766     8906      15818
## 2 1.03e7       501     12963  7508262   147766     8926      17265
## 3 1.03e7       501     12963  7508262   147766     8909      14855
## 4 1.03e7       501     12963  7508262   147766   288196      17256
## 5 1.03e7       501     12963  7508262   147766      219      14466
## 6 1.03e7       501     12963  7508262   147766     8922      14853
## # … with 40 more variables: localteam_id <int>, visitorteam_id <int>,
## #   winner_team_id <int>, weather_report_code <chr>,
## #   weather_report_type <chr>, weather_report_icon <chr>,
## #   weather_report_temperature_temp <dbl>,
## #   weather_report_temperature_unit <chr>, weather_report_clouds <chr>,
## #   weather_report_humidity <chr>, weather_report_wind_speed <chr>,
## #   weather_report_wind_degree <dbl>, commentaries <lgl>,
## #   attendance <int>, pitch <chr>, winning_odds_calculated <lgl>,
## #   formations_localteam_formation <chr>,
## #   formations_visitorteam_formation <chr>, scores_localteam_score <int>,
## #   scores_visitorteam_score <int>, scores_ht_score <chr>,
## #   scores_ft_score <chr>, time_status <chr>,
## #   time_starting_at_date_time <chr>, time_starting_at_date <chr>,
## #   time_starting_at_time <chr>, time_starting_at_timestamp <int>,
## #   time_starting_at_timezone <chr>, time_minute <int>,
## #   time_added_time <int>, time_injury_time <int>,
## #   coaches_localteam_coach_id <int>, coaches_visitorteam_coach_id <int>,
## #   standings_localteam_position <int>,
## #   standings_visitorteam_position <int>,
## #   assistants_first_assistant_id <int>,
## #   assistants_second_assistant_id <int>,
## #   assistants_fourth_official_id <int>, leg <chr>, deleted <lgl>
get_fixtures(dates = c("2019-01-01", "2019-02-01"))
## # A tibble: 14 x 47
##        id league_id season_id stage_id round_id venue_id referee_id
##     <int>     <int>     <int>    <int>    <int>    <int>      <int>
##  1 1.03e7       501     12963  7508262   147766     8906      15818
##  2 1.03e7       501     12963  7508262   147766     8926      17265
##  3 1.03e7       501     12963  7508262   147766     8909      14855
##  4 1.03e7       501     12963  7508262   147766   288196      17256
##  5 1.03e7       501     12963  7508262   147766      219      14466
##  6 1.03e7       501     12963  7508262   147766     8922      14853
##  7 1.03e7       501     12963  7508262   147767     8926      19316
##  8 1.03e7       501     12963  7508262   147767     8928      14468
##  9 1.03e7       501     12963  7508262   147767     8909      15815
## 10 1.03e7       501     12963  7508262   147767   289858      14859
## 11 1.03e7       501     12963  7508262   147767   289869      17847
## 12 1.03e7       501     12963  7508262   147767     8943      18748
## 13 1.03e7       501     12963  7508262   147759     8909      17256
## 14 1.03e7       501     12963  7508262   147768     8906      17847
## # … with 40 more variables: localteam_id <int>, visitorteam_id <int>,
## #   winner_team_id <int>, weather_report_code <chr>,
## #   weather_report_type <chr>, weather_report_icon <chr>,
## #   weather_report_temperature_temp <dbl>,
## #   weather_report_temperature_unit <chr>, weather_report_clouds <chr>,
## #   weather_report_humidity <chr>, weather_report_wind_speed <chr>,
## #   weather_report_wind_degree <dbl>, commentaries <lgl>,
## #   attendance <int>, pitch <chr>, winning_odds_calculated <lgl>,
## #   formations_localteam_formation <chr>,
## #   formations_visitorteam_formation <chr>, scores_localteam_score <int>,
## #   scores_visitorteam_score <int>, scores_ht_score <chr>,
## #   scores_ft_score <chr>, time_status <chr>,
## #   time_starting_at_date_time <chr>, time_starting_at_date <chr>,
## #   time_starting_at_time <chr>, time_starting_at_timestamp <int>,
## #   time_starting_at_timezone <chr>, time_minute <int>,
## #   time_added_time <int>, time_injury_time <int>,
## #   coaches_localteam_coach_id <int>, coaches_visitorteam_coach_id <int>,
## #   standings_localteam_position <int>,
## #   standings_visitorteam_position <int>,
## #   assistants_first_assistant_id <int>,
## #   assistants_second_assistant_id <int>,
## #   assistants_fourth_official_id <int>, leg <chr>, deleted <lgl>
# missing: get by date range for team

Livescores

get_live()
## # A tibble: 2 x 29
##       id league_id season_id stage_id round_id venue_id referee_id
##    <int>     <int>     <int>    <int>    <int>    <int>      <int>
## 1 1.19e7       271     12919  7088926   167805     5659      14652
## 2 1.19e7       501     12963  7508261   168045       NA      14859
## # … with 22 more variables: localteam_id <int>, visitorteam_id <int>,
## #   commentaries <lgl>, winning_odds_calculated <lgl>,
## #   scores_localteam_score <int>, scores_visitorteam_score <int>,
## #   time_status <chr>, time_starting_at_date_time <chr>,
## #   time_starting_at_date <chr>, time_starting_at_time <chr>,
## #   time_starting_at_timestamp <int>, time_starting_at_timezone <chr>,
## #   coaches_localteam_coach_id <int>, coaches_visitorteam_coach_id <int>,
## #   standings_localteam_position <int>,
## #   standings_visitorteam_position <int>,
## #   assistants_first_assistant_id <int>,
## #   assistants_second_assistant_id <int>,
## #   assistants_fourth_official_id <int>, leg <chr>, deleted <lgl>,
## #   group_id <int>
# get_live_now()
# all 
# inplay

Comments

get_comments(10333321)
## # A tibble: 12 x 6
##    fixture_id important order goal  minute comment                         
##         <int> <lgl>     <int> <lgl>  <int> <chr>                           
##  1   10333321 FALSE        12 FALSE     87 Substitution -  Aberdeen. James…
##  2   10333321 TRUE         11 FALSE     82 Kris Boyd  - Kilmarnock -  rece…
##  3   10333321 FALSE        10 FALSE     79 Substitution -  Kilmarnock. Mik…
##  4   10333321 FALSE         9 FALSE     78 Substitution -  Aberdeen. Tommi…
##  5   10333321 TRUE          8 FALSE     77 Alan Power  - Kilmarnock -  rec…
##  6   10333321 TRUE          7 FALSE     75 Scott Boyd  - Kilmarnock -  rec…
##  7   10333321 TRUE          6 FALSE     73 Aaron Tshibola  - Kilmarnock - …
##  8   10333321 FALSE         5 FALSE     68 Substitution -  Aberdeen. Niall…
##  9   10333321 FALSE         4 FALSE     66 Substitution -  Kilmarnock. Ror…
## 10   10333321 FALSE         3 FALSE     60 Substitution -  Kilmarnock. Kri…
## 11   10333321 TRUE          2 FALSE     29 Graeme Shinnie  - Aberdeen -  r…
## 12   10333321 TRUE          1 FALSE     45 Lewis Ferguson  - Aberdeen -  r…

Highlights

get_highlights(10333321)
## # A tibble: 12 x 6
##    fixture_id important order goal  minute comment                         
##         <int> <lgl>     <int> <lgl>  <int> <chr>                           
##  1   10333321 FALSE        12 FALSE     87 Substitution -  Aberdeen. James…
##  2   10333321 TRUE         11 FALSE     82 Kris Boyd  - Kilmarnock -  rece…
##  3   10333321 FALSE        10 FALSE     79 Substitution -  Kilmarnock. Mik…
##  4   10333321 FALSE         9 FALSE     78 Substitution -  Aberdeen. Tommi…
##  5   10333321 TRUE          8 FALSE     77 Alan Power  - Kilmarnock -  rec…
##  6   10333321 TRUE          7 FALSE     75 Scott Boyd  - Kilmarnock -  rec…
##  7   10333321 TRUE          6 FALSE     73 Aaron Tshibola  - Kilmarnock - …
##  8   10333321 FALSE         5 FALSE     68 Substitution -  Aberdeen. Niall…
##  9   10333321 FALSE         4 FALSE     66 Substitution -  Kilmarnock. Ror…
## 10   10333321 FALSE         3 FALSE     60 Substitution -  Kilmarnock. Kri…
## 11   10333321 TRUE          2 FALSE     29 Graeme Shinnie  - Aberdeen -  r…
## 12   10333321 TRUE          1 FALSE     45 Lewis Ferguson  - Aberdeen -  r…

Head2Head

get_head2head(team1 = 309, team2 = 66)
## # A tibble: 35 x 50
##        id league_id season_id stage_id round_id venue_id referee_id
##     <int>     <int>     <int>    <int>    <int>    <int>      <int>
##  1 1.03e7       501     12963  7508262   147774     8946      18748
##  2 1.03e7       501     12963  7508262   147766     8922      14853
##  3 1.03e7       501     12963  7508262   147745     8946      14853
##  4 1.87e6       501      7953    56530   129141     8946      15815
##  5 1.87e6       501      7953    56530   129128     8922      14853
##  6 1.87e6       501      7953    56530   129122     8946      17259
##  7 3.79e5       501      1935     3225    52443     8946         NA
##  8 3.78e5       501      1935     3225    52284     8877         NA
##  9 3.77e5       501      1935     3225    52128     8946         NA
## 10 3.79e5       501      1934     3224    52432     8877         NA
## # … with 25 more rows, and 43 more variables: localteam_id <int>,
## #   visitorteam_id <int>, winner_team_id <int>, weather_report_code <chr>,
## #   weather_report_type <chr>, weather_report_icon <chr>,
## #   weather_report_temperature_temp <dbl>,
## #   weather_report_temperature_unit <chr>, weather_report_clouds <chr>,
## #   weather_report_humidity <chr>, weather_report_pressure <int>,
## #   weather_report_wind_speed <chr>, weather_report_wind_degree <int>,
## #   commentaries <lgl>, pitch <chr>, winning_odds_calculated <lgl>,
## #   formations_localteam_formation <chr>,
## #   formations_visitorteam_formation <chr>, scores_localteam_score <int>,
## #   scores_visitorteam_score <int>, scores_ht_score <chr>,
## #   scores_ft_score <chr>, time_status <chr>,
## #   time_starting_at_date_time <chr>, time_starting_at_date <chr>,
## #   time_starting_at_time <chr>, time_starting_at_timestamp <int>,
## #   time_starting_at_timezone <chr>, time_minute <int>,
## #   time_added_time <int>, time_injury_time <int>,
## #   coaches_localteam_coach_id <int>, coaches_visitorteam_coach_id <int>,
## #   standings_localteam_position <int>,
## #   standings_visitorteam_position <int>,
## #   assistants_first_assistant_id <int>,
## #   assistants_second_assistant_id <int>,
## #   assistants_fourth_official_id <int>, leg <chr>, deleted <lgl>,
## #   scores_localteam_pen_score <int>, scores_visitorteam_pen_score <int>,
## #   group_id <int>

Teams

get_team(180)
## # A tibble: 1 x 10
##      id legacy_id name  short_code country_id national_team founded
##   <int>     <int> <chr> <chr>           <int> <lgl>           <int>
## 1   180       696 Kilm… KIL              1161 FALSE            1869
## # … with 3 more variables: logo_path <chr>, venue_id <int>,
## #   current_season_id <int>
get_team(season_id = 1273)
## # A tibble: 12 x 10
##       id legacy_id name  short_code country_id national_team founded
##    <int>     <int> <chr> <chr>           <int> <lgl>           <int>
##  1    85       146 Købe… COP               320 FALSE            1992
##  2    86       522 Silk… SIL               320 FALSE            1917
##  3   211       631 Hors… ACH               320 FALSE            1994
##  4   293        NA Brøn… SLO               320 FALSE            1964
##  5   390        NA Sønd… SON               320 FALSE            2004
##  6   939       513 Midt… FCM               320 FALSE            1999
##  7  1020       173 AaB   AAB               320 FALSE            1885
##  8  1371       518 Esbj… <NA>              320 FALSE            1924
##  9  1789       520 OB    ODE               320 FALSE            1889
## 10  2394        NA Nord… FCN               320 FALSE            2003
## 11  2447       628 Vibo… <NA>              320 FALSE            1896
## 12  2905       629 AGF   AGF               320 FALSE            1902
## # … with 3 more variables: logo_path <chr>, venue_id <int>,
## #   current_season_id <int>

Players

get_player(180)
## # A tibble: 1 x 15
##   player_id team_id country_id position_id common_name fullname firstname
##       <int>   <int>      <int>       <int> <chr>       <chr>    <chr>    
## 1       180      53        462           3 S. Sinclair S. Sinc… Scott    
## # … with 8 more variables: lastname <chr>, nationality <chr>,
## #   birthdate <chr>, birthcountry <chr>, birthplace <chr>, height <chr>,
## #   weight <chr>, image_path <chr>

Topscores

get_topscores(season_id = 1273, agg = T)
## # A tibble: 1 x 4
##      id name      league_id is_current_season
##   <int> <chr>         <int> <lgl>            
## 1  1273 2005/2006       271 FALSE

Venues

get_venue(8928)
## # A tibble: 1 x 7
##      id name      surface address    city  capacity image_path             
##   <int> <chr>     <chr>   <chr>      <chr>    <int> <chr>                  
## 1  8928 Pittodri… grass   Pittodrie… Aber…    22199 https://cdn.sportmonks…
# by id
# by season id

Rounds

get_round(round_id = 147767)
## # A tibble: 1 x 7
##       id  name league_id season_id stage_id start      end       
##    <int> <int>     <int>     <int>    <int> <chr>      <chr>     
## 1 147767    23       501     12963  7508262 2019-01-26 2019-01-27
get_round(season_id = 12963)
## # A tibble: 38 x 7
##        id  name league_id season_id stage_id start      end       
##     <int> <int>     <int>     <int>    <int> <chr>      <chr>     
##  1 147745     1       501     12963  7508262 2018-08-04 2018-08-05
##  2 147746     2       501     12963  7508262 2018-08-11 2018-08-12
##  3 147747     3       501     12963  7508262 2018-08-25 2018-08-26
##  4 147748     4       501     12963  7508262 2018-09-01 2018-09-02
##  5 147749     5       501     12963  7508262 2018-09-14 2018-09-15
##  6 147750     6       501     12963  7508262 2018-09-22 2018-09-23
##  7 147751     7       501     12963  7508262 2018-09-29 2018-09-30
##  8 147752     8       501     12963  7508262 2018-10-06 2018-10-07
##  9 147753     9       501     12963  7508262 2018-10-20 2018-10-21
## 10 147754    10       501     12963  7508262 2018-10-23 2018-12-19
## # … with 28 more rows

Odds

get_odds(10333321)
## # A tibble: 51 x 17
##        id name  suspended bookmaker_data_… bookmaker_data_…
##     <int> <chr> <lgl>                <int> <chr>           
##  1 1.00e0 3Way… FALSE             25679320 Sbo             
##  2 1.00e1 Home… FALSE                   97 Unibet          
##  3 8.00e1 3Way… FALSE             25679219 Marathon        
##  4 1.20e1 Over… FALSE             25679320 Sbo             
##  5 3.80e1 Over… FALSE             25679320 Sbo             
##  6 4.70e1 Over… FALSE             25679219 Marathon        
##  7 9.76e5 HT/F… FALSE             25679320 Sbo             
##  8 9.76e5 Clea… FALSE                    1 10Bet           
##  9 8.59e6 Clea… FALSE                    2 bet365          
## 10 9.76e5 Both… FALSE             25679219 Marathon        
## # … with 41 more rows, and 12 more variables:
## #   bookmaker_data_odds_data_label <chr>,
## #   bookmaker_data_odds_data_value <chr>,
## #   bookmaker_data_odds_data_probability <chr>,
## #   bookmaker_data_odds_data_dp3 <chr>,
## #   bookmaker_data_odds_data_american <int>,
## #   bookmaker_data_odds_data_winning <lgl>,
## #   bookmaker_data_odds_data_stop <lgl>,
## #   bookmaker_data_odds_data_last_update_date <chr>,
## #   bookmaker_data_odds_data_last_update_timezone_type <int>,
## #   bookmaker_data_odds_data_last_update_timezone <chr>,
## #   bookmaker_data_odds_data_total <chr>,
## #   bookmaker_data_odds_data_handicap <chr>
# by fixture and bookmarker
# by fixture and market
# by fixture id
# inplay odds by fixture id

Coaches

get_coache(896462)
## # A tibble: 1 x 12
##   coach_id team_id country_id common_name fullname firstname lastname
##      <int>   <int>      <int> <chr>       <chr>    <chr>     <chr>   
## 1   896462     273       1161 D. McInnes  D. McIn… Derek     McInnes 
## # … with 5 more variables: nationality <chr>, birthdate <chr>,
## #   birthcountry <chr>, birthplace <chr>, image_path <chr>

Stages

get_stage(stage_id = 7508262)
## # A tibble: 1 x 4
##        id name      league_id season_id
##     <int> <chr>         <int>     <int>
## 1 7508262 1st Phase       501     12963
get_stage(season_id = 12963)
## # A tibble: 2 x 5
##        id name      type        league_id season_id
##     <int> <chr>     <chr>           <int>     <int>
## 1 7508261 2nd Phase Group Stage       501     12963
## 2 7508262 1st Phase Group Stage       501     12963

Bookmarkers

get_bookmakers()
## # A tibble: 42 x 2
##       id name       
##    <int> <chr>      
##  1     1 10Bet      
##  2     2 bet365     
##  3     3 188Bet     
##  4     5 5 Dimes    
##  5     7 888Sport   
##  6     9 BetFred    
##  7    11 Bet-At-Home
##  8    13 BetCRIS    
##  9    15 Betfair    
## 10    17 BetOnline  
## # … with 32 more rows
get_bookmaker(book_id = 25679219)
## # A tibble: 1 x 2
##         id name    
##      <int> <chr>   
## 1 25679219 Marathon

Markets

get_markets()
## # A tibble: 516 x 2
##       id name                
##    <int> <chr>               
##  1     1 3Way Result         
##  2    10 Home/Away           
##  3    12 Over/Under          
##  4    28 Asian Handicap      
##  5    37 3Way Result 1st Half
##  6    38 Over/Under 1st Half 
##  7    47 Over/Under 2nd Half 
##  8    63 Double Chance       
##  9    69 Team To Score First 
## 10    75 Team To Score Last  
## # … with 506 more rows
get_market(id = 10)
## # A tibble: 1 x 2
##      id name     
##   <int> <chr>    
## 1    10 Home/Away

Team Squads

get_team_squads(season_id = 12963, team_id = 180)
## # A tibble: 25 x 40
##    player_id position_id number captain injured minutes appearences lineups
##        <int>       <int>  <int>   <int> <lgl>     <int>       <int>   <int>
##  1    172042           1      1       0 FALSE      1080          12      12
##  2    173098           1     13       0 FALSE         0           0       0
##  3     12321           2      2       0 FALSE      3131          36      35
##  4      3004           2      5       0 FALSE      2054          26      24
##  5    172665           2     16       0 FALSE      1490          17      16
##  6    174170           2     18       0 FALSE       172           2       2
##  7    173080           2      3       0 FALSE      3124          35      35
##  8      7057           3      6       0 FALSE      3044          35      34
##  9      2302           3      8       0 FALSE      2668          34      29
## 10      2259           3     29       0 FALSE      2478          34      29
## # … with 15 more rows, and 32 more variables: substitute_in <int>,
## #   substitute_out <int>, substitutes_on_bench <int>, goals <int>,
## #   assists <int>, saves <int>, inside_box_saves <int>, dispossesed <int>,
## #   interceptions <int>, yellowcards <int>, yellowred <int>,
## #   redcards <int>, tackles <int>, blocks <int>, hit_post <int>,
## #   fouls_committed <int>, fouls_drawn <int>, crosses_total <int>,
## #   crosses_accurate <int>, dribbles_attempts <int>,
## #   dribbles_success <int>, dribbles_dribbled_past <int>,
## #   duels_total <int>, duels_won <int>, passes_total <int>,
## #   passes_accuracy <int>, passes_key_passes <int>, penalties_won <int>,
## #   penalties_scores <int>, penalties_missed <int>,
## #   penalties_committed <int>, penalties_saves <int>

TV-stations

get_tv(10333321)
## # A tibble: 9 x 2
##   fixture_id tvstation  
##        <int> <chr>      
## 1   10333321 BBC Alba   
## 2   10333321 bet365     
## 3   10333321 bet365.it  
## 4   10333321 BetClic.fr 
## 5   10333321 Chance     
## 6   10333321 Sportingbet
## 7   10333321 Tipsport   
## 8   10333321 Tipsport SK
## 9   10333321 Unibet
sessionInfo()
## R version 3.6.0 (2019-04-26)
## Platform: x86_64-apple-darwin15.6.0 (64-bit)
## Running under: macOS High Sierra 10.13.6
## 
## Matrix products: default
## BLAS:   /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRblas.0.dylib
## LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib
## 
## locale:
## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] sportmonks_0.0.0.9000 testthat_2.1.1        janitor_1.2.0        
##  [4] listviewer_2.1.0      xml2_1.2.0            jsonlite_1.6         
##  [7] httr_1.4.0            devtools_2.0.2        usethis_1.5.0        
## [10] forcats_0.4.0         stringr_1.4.0         dplyr_0.8.0.1        
## [13] purrr_0.3.2           readr_1.3.1           tidyr_0.8.3          
## [16] tibble_2.1.1          ggplot2_3.1.1         tidyverse_1.2.1      
## [19] badger_0.0.4         
## 
## loaded via a namespace (and not attached):
##  [1] pkgload_1.0.2      modelr_0.1.4       assertthat_0.2.1  
##  [4] rvcheck_0.1.3      cellranger_1.1.0   yaml_2.2.0        
##  [7] remotes_2.0.4      sessioninfo_1.1.1  pillar_1.3.1      
## [10] backports_1.1.4    lattice_0.20-38    glue_1.3.1        
## [13] rlist_0.4.6.1      digest_0.6.18      RColorBrewer_1.1-2
## [16] snakecase_0.9.2    rvest_0.3.3        colorspace_1.4-1  
## [19] htmltools_0.3.6    plyr_1.8.4         pkgconfig_2.0.2   
## [22] broom_0.5.2        haven_2.1.0        scales_1.0.0      
## [25] processx_3.3.0     generics_0.0.2     pacman_0.5.1      
## [28] withr_2.1.2        lazyeval_0.2.2     cli_1.1.0         
## [31] magrittr_1.5       crayon_1.3.4       readxl_1.3.1      
## [34] memoise_1.1.0      evaluate_0.13      ps_1.3.0          
## [37] fansi_0.4.0        fs_1.3.0           nlme_3.1-139      
## [40] pkgbuild_1.0.3     data.table_1.12.2  tools_3.6.0       
## [43] prettyunits_1.0.2  hms_0.4.2          munsell_0.5.0     
## [46] callr_3.2.0        compiler_3.6.0     rlang_0.3.4       
## [49] grid_3.6.0         rstudioapi_0.10    htmlwidgets_1.3   
## [52] rmarkdown_1.12     gtable_0.3.0       curl_3.3          
## [55] R6_2.4.0           lubridate_1.7.4    knitr_1.22        
## [58] utf8_1.1.4         rprojroot_1.3-2    dlstats_0.1.0     
## [61] desc_1.2.0         stringi_1.4.3      Rcpp_1.0.1        
## [64] tidyselect_0.2.5   xfun_0.6
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