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Get player returning production

Usage

cfbd_player_returning(year = 2019, team = NULL, conference = NULL)

Arguments

year

(Integer required, default 2019): Year, 4 digit format (YYYY).

team

(String optional): Team - Select a valid team, D1 football

conference

(String optional): Conference abbreviation - Select a valid FBS conference Conference abbreviations P5: ACC, B12, B1G, SEC, PAC Conference abbreviations G5 and FBS Independents: CUSA, MAC, MWC, Ind, SBC, AAC

Value

cfbd_player_returning() - A data frame with 15 variables:

season:integer.

Returning player season.

team:character.

Team name.

conference:character.

Conference of team.

total_ppa:double.

Total predicted points added returning.

total_passing_ppa:double.

Total passing predicted points added returning.

total_receiving_ppa:double.

Total receiving predicted points added returning.

total_rushing_ppa:double.

Total rushing predicted points added returning.

percent_ppa:double.

Percentage of prior year's predicted points added returning.

percent_passing_ppa:double.

Percentage of prior year's passing predicted points added returning.

percent_receiving_ppa:double.

Percentage of prior year's receiving predicted points added returning.

percent_rushing_ppa:double.

Percentage of prior year's rushing predicted points added returning.

usage:double.

.

passing_usage:double.

.

receiving_usage:double.

.

rushing_usage:double.

.

Examples

# \donttest{
   try(cfbd_player_returning(year = 2019, team = "Florida State"))
#> ── Returning production data from CollegeFootballData.com ──── cfbfastR 1.9.3 ──
#>  Data updated: 2022-09-23 03:23:27 UTC
#> # A tibble: 1 × 15
#>   season team    confe…¹ total…² total…³ total…⁴ total…⁵ perce…⁶ perce…⁷ perce…⁸
#>    <int> <chr>   <chr>     <dbl>   <dbl>   <dbl>   <int>   <dbl>   <dbl>   <dbl>
#> 1   2019 Florid… ACC        149.    30.2    116.       3   0.519   0.288   0.628
#> # … with 5 more variables: percent_rushing_ppa <dbl>, usage <dbl>,
#> #   passing_usage <dbl>, receiving_usage <dbl>, rushing_usage <dbl>, and
#> #   abbreviated variable names ¹​conference, ²​total_ppa, ³​total_passing_ppa,
#> #   ⁴​total_receiving_ppa, ⁵​total_rushing_ppa, ⁶​percent_ppa,
#> #   ⁷​percent_passing_ppa, ⁸​percent_receiving_ppa
# }