MLB Stats Leaders
Usage
mlb_stats_leaders(
leader_categories = NULL,
player_pool = NULL,
leader_game_types = NULL,
sit_codes = NULL,
position = NULL,
stat_group = NULL,
season = NULL,
league_id = NULL,
sport_id = NULL,
start_date = NULL,
end_date = NULL,
stat_type = NULL,
limit = 1000
)Arguments
- leader_categories
League leader category to return information and ranking for a particular statistic.
- player_pool
There are 4 different types of player pools to return statistics for a particular player pool across a sport. Acceptable values include: All, Qualified, Rookies, or Qualified_rookies
- leader_game_types
Game type to return information and ranking for a particular statistic in a particular game type.
- sit_codes
Situation code to return information and ranking for a particular statistic in a particular game type.
- position
Position to return statistics for a given position. Default to "Qualified" player pool Acceptable values include:
P
C
1B
2B
3B
SS
LF
CF
RF
DH
PH
PR
BR
OF
IF
SP
RP
CP
UT
UI
UO
RHP
LHP
RHS
LHS
LHR
RHR
B
X
- stat_group
Stat group to return information and ranking for a particular statistic in a particular group.
- season
Year to return information and ranking for a particular statistic in a given year.
- league_id
League ID to return statistics for a given league. Default to "Qualified" player pool.
- sport_id
The sport_id to return information and ranking information for.
- start_date
Start date to return information and ranking for a particular statistic for a particular date range. Format: MM/DD/YYYY start_date must be coupled with end_date and byDateRange stat_type
- end_date
End date to return information and ranking for a particular statistic for a particular date range. Format: MM/DD/YYYY end_date must be coupled with start_date and byDateRange stat_type
- stat_type
The stat_type to return information and ranking for a particular statistic for a particular stat type.
- limit
A limit to limit return to a particular number of records.
Value
Returns a tibble with the following columns
| col_name | types |
| leader_category | character |
| rank | integer |
| value | character |
| season | character |
| num_teams | integer |
| team_id | integer |
| team_name | character |
| team_link | character |
| league_id | integer |
| league_name | character |
| league_link | character |
| person_id | integer |
| person_full_name | character |
| person_link | character |
| person_first_name | character |
| person_last_name | character |
| sport_id | integer |
| sport_link | character |
| sport_abbreviation | character |
| stat_group | character |
| total_splits | integer |
| game_type_id | character |
| game_type_description | character |
Examples
# \donttest{
try(mlb_stats_leaders(leader_categories='homeRuns',sport_id=1, season = 2021))
#> ── MLB Stats Leaders data from MLB.com ────────────── baseballr 1.2.0 ──
#> ℹ Data updated: 2022-04-30 07:16:39 UTC
#> # A tibble: 306 × 23
#> leader_category rank value season num_teams team_id team_name
#> <chr> <int> <chr> <chr> <int> <int> <chr>
#> 1 homeRuns 1 48 2021 1 141 Toronto Blue Ja…
#> 2 homeRuns 1 48 2021 1 118 Kansas City Roy…
#> 3 homeRuns 3 46 2021 1 108 Los Angeles Ang…
#> 4 homeRuns 4 45 2021 1 141 Toronto Blue Ja…
#> 5 homeRuns 5 42 2021 1 135 San Diego Padres
#> 6 homeRuns 6 39 2021 1 136 Seattle Mariners
#> 7 homeRuns 6 39 2021 1 147 New York Yankees
#> 8 homeRuns 6 39 2021 1 139 Tampa Bay Rays
#> 9 homeRuns 6 39 2021 1 133 Oakland Athleti…
#> 10 homeRuns 10 38 2021 1 111 Boston Red Sox
#> # … with 296 more rows, and 16 more variables: team_link <chr>,
#> # league_id <int>, league_name <chr>, league_link <chr>,
#> # person_id <int>, person_full_name <chr>, person_link <chr>,
#> # person_first_name <chr>, person_last_name <chr>, sport_id <int>,
#> # sport_link <chr>, sport_abbreviation <chr>, stat_group <chr>,
#> # total_splits <int>, game_type_id <chr>, game_type_description <chr>
# }