Get League-Specific Scoring History
Source:R/0_generics.R, R/espn_scoringhistory.R, R/flea_scoringhistory.R, and 3 more
ff_scoringhistory.Rd(Experimental!) This function reads your league's ff_scoring rules and maps them to nflfastr week-level data. Not all of the scoring rules from your league may have nflfastr equivalents, but most of the common ones are available!
Usage
ff_scoringhistory(conn, season, ...)
# S3 method for espn_conn
ff_scoringhistory(conn, season = 1999:nflreadr::most_recent_season(), ...)
# S3 method for flea_conn
ff_scoringhistory(conn, season = 1999:nflreadr::most_recent_season(), ...)
# S3 method for mfl_conn
ff_scoringhistory(conn, season = 1999:nflreadr::most_recent_season(), ...)
# S3 method for sleeper_conn
ff_scoringhistory(conn, season = 1999:nflreadr::most_recent_season(), ...)
# S3 method for template_conn
ff_scoringhistory(conn, season = 1999:nflreadr::most_recent_season(), ...)Arguments
- conn
a conn object created by
ff_connect()- season
season a numeric vector of seasons (earliest available year is 1999)
- ...
other arguments
Methods (by class)
ff_scoringhistory(espn_conn): ESPN: returns scoring history in a flat table, one row per player per week.ff_scoringhistory(flea_conn): Fleaflicker: returns scoring history in a flat table, one row per player per week.ff_scoringhistory(mfl_conn): MFL: returns scoring history in a flat table, one row per player per week.ff_scoringhistory(sleeper_conn): Sleeper: returns scoring history in a flat table, one row per player per week.ff_scoringhistory(template_conn): template: returns scoring history in a flat table, one row per player per week.
Examples
# \donttest{
try({ # try only shown here because sometimes CRAN checks are weird
conn <- espn_connect(season = 2020, league_id = 899513)
ff_scoringhistory(conn, season = 2020)
}) # end try
#> # A tibble: 5,397 × 24
#> season week gsis_id sportrad…¹ espn_id playe…² pos team points inter…³
#> <int> <int> <chr> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl>
#> 1 2020 15 00-0034490 83849bc5-… 3894901 Ezekie… LB ARI 3.1 0
#> 2 2020 1 00-0035752 23461354-… 3040206 Chris … QB ARI 0.3 0
#> 3 2020 17 00-0035752 23461354-… 3040206 Chris … QB ARI 7.4 1
#> 4 2020 1 00-0035228 dd5a6b6e-… 3917315 Kyler … QB ARI 26.3 1
#> 5 2020 2 00-0035228 dd5a6b6e-… 3917315 Kyler … QB ARI 32.1 1
#> 6 2020 3 00-0035228 dd5a6b6e-… 3917315 Kyler … QB ARI 21.7 3
#> 7 2020 4 00-0035228 dd5a6b6e-… 3917315 Kyler … QB ARI 23.1 0
#> 8 2020 5 00-0035228 dd5a6b6e-… 3917315 Kyler … QB ARI 26.3 1
#> 9 2020 6 00-0035228 dd5a6b6e-… 3917315 Kyler … QB ARI 28.9 0
#> 10 2020 7 00-0035228 dd5a6b6e-… 3917315 Kyler … QB ARI 37.1 1
#> # … with 5,387 more rows, 14 more variables: passing_2pt_conversions <dbl>,
#> # passing_tds <dbl>, passing_yards <dbl>, receiving_2pt_conversions <dbl>,
#> # receiving_fumbles_lost <dbl>, receiving_tds <dbl>, receiving_yards <dbl>,
#> # receptions <dbl>, rushing_2pt_conversions <dbl>,
#> # rushing_fumbles_lost <dbl>, rushing_tds <dbl>, rushing_yards <dbl>,
#> # sack_fumbles_lost <dbl>, special_teams_tds <dbl>, and abbreviated variable
#> # names ¹sportradar_id, ²player_name, ³interceptions
# }
# \donttest{
try({ # try only shown here because sometimes CRAN checks are weird
conn <- fleaflicker_connect(2020, 312861)
ff_scoringhistory(conn, season = 2020)
}) # end try
#> # A tibble: 5,392 × 24
#> season week gsis_id sportrad…¹ fleaf…² playe…³ pos team points inter…⁴
#> <int> <int> <chr> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl>
#> 1 2020 1 00-0035752 23461354-… NA Chris … QB ARI 0.55 0
#> 2 2020 17 00-0035752 23461354-… NA Chris … QB ARI 11.9 1
#> 3 2020 1 00-0035228 dd5a6b6e-… NA Kyler … QB ARI 33.3 1
#> 4 2020 2 00-0035228 dd5a6b6e-… NA Kyler … QB ARI 39.1 1
#> 5 2020 3 00-0035228 dd5a6b6e-… NA Kyler … QB ARI 33.4 3
#> 6 2020 4 00-0035228 dd5a6b6e-… NA Kyler … QB ARI 34.6 0
#> 7 2020 5 00-0035228 dd5a6b6e-… NA Kyler … QB ARI 34.6 1
#> 8 2020 6 00-0035228 dd5a6b6e-… NA Kyler … QB ARI 36.2 0
#> 9 2020 7 00-0035228 dd5a6b6e-… NA Kyler … QB ARI 49.6 1
#> 10 2020 9 00-0035228 dd5a6b6e-… NA Kyler … QB ARI 51.7 0
#> # … with 5,382 more rows, 14 more variables: passing_2pt_conversions <dbl>,
#> # passing_first_downs <dbl>, passing_tds <dbl>, passing_yards <dbl>,
#> # receiving_2pt_conversions <dbl>, receiving_first_downs <dbl>,
#> # receiving_tds <dbl>, receiving_yards <dbl>, receptions <dbl>,
#> # rushing_2pt_conversions <dbl>, rushing_first_downs <dbl>,
#> # rushing_tds <dbl>, rushing_yards <dbl>, special_teams_tds <dbl>, and
#> # abbreviated variable names ¹sportradar_id, ²fleaflicker_id, ³player_name, …
# }
# \donttest{
try({ # try only shown here because sometimes CRAN checks are weird
ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
ff_scoringhistory(ssb_conn, season = 2020)
}) # end try
#> # A tibble: 5,392 × 26
#> season week gsis_id sportrada…¹ mfl_id playe…² pos team points inter…³
#> <int> <int> <chr> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl>
#> 1 2020 1 00-0035752 23461354-f… 15060 Chris … QB ARI 0.8 0
#> 2 2020 17 00-0035752 23461354-f… 15060 Chris … QB ARI 7.9 1
#> 3 2020 1 00-0035228 dd5a6b6e-f… 14056 Kyler … QB ARI 28.3 1
#> 4 2020 2 00-0035228 dd5a6b6e-f… 14056 Kyler … QB ARI 33.6 1
#> 5 2020 3 00-0035228 dd5a6b6e-f… 14056 Kyler … QB ARI 21.2 3
#> 6 2020 4 00-0035228 dd5a6b6e-f… 14056 Kyler … QB ARI 30.6 0
#> 7 2020 5 00-0035228 dd5a6b6e-f… 14056 Kyler … QB ARI 28.3 1
#> 8 2020 6 00-0035228 dd5a6b6e-f… 14056 Kyler … QB ARI 35.9 0
#> 9 2020 7 00-0035228 dd5a6b6e-f… 14056 Kyler … QB ARI 43.6 1
#> 10 2020 9 00-0035228 dd5a6b6e-f… 14056 Kyler … QB ARI 46.9 0
#> # … with 5,382 more rows, 16 more variables: passing_2pt_conversions <dbl>,
#> # passing_tds <dbl>, passing_yards <dbl>, receiving_2pt_conversions <dbl>,
#> # receiving_fumbles_lost <dbl>, receiving_tds <dbl>, receiving_yards <dbl>,
#> # receptions <dbl>, rushing_2pt_conversions <dbl>, rushing_first_downs <dbl>,
#> # rushing_fumbles_lost <dbl>, rushing_tds <dbl>, rushing_yards <dbl>,
#> # sack_fumbles_lost <dbl>, special_teams_tds <dbl>,
#> # receiving_first_downs <dbl>, and abbreviated variable names …
# }
# \donttest{
try({ # try only shown here because sometimes CRAN checks are weird
conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
ff_scoringhistory(conn, season = 2020)
}) # end try
#> # A tibble: 5,417 × 23
#> season week gsis_id sportrad…¹ sleep…² playe…³ pos team points recei…⁴
#> <int> <int> <chr> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl>
#> 1 2020 15 00-0034490 83849bc5-… 5161 Ezekie… LB ARI 0 0
#> 2 2020 1 00-0035752 23461354-… 6778 Chris … QB ARI 0.3 0
#> 3 2020 17 00-0035752 23461354-… 6778 Chris … QB ARI 7.4 0
#> 4 2020 1 00-0035228 dd5a6b6e-… 5849 Kyler … QB ARI 26.3 0
#> 5 2020 2 00-0035228 dd5a6b6e-… 5849 Kyler … QB ARI 32.1 0
#> 6 2020 3 00-0035228 dd5a6b6e-… 5849 Kyler … QB ARI 21.7 0
#> 7 2020 4 00-0035228 dd5a6b6e-… 5849 Kyler … QB ARI 23.1 0
#> 8 2020 5 00-0035228 dd5a6b6e-… 5849 Kyler … QB ARI 26.3 0
#> 9 2020 6 00-0035228 dd5a6b6e-… 5849 Kyler … QB ARI 28.9 0
#> 10 2020 7 00-0035228 dd5a6b6e-… 5849 Kyler … QB ARI 37.1 0
#> # … with 5,407 more rows, 13 more variables: rushing_fumbles_lost <dbl>,
#> # sack_fumbles_lost <dbl>, interceptions <dbl>,
#> # passing_2pt_conversions <dbl>, passing_tds <dbl>, passing_yards <dbl>,
#> # receiving_2pt_conversions <dbl>, receiving_tds <dbl>,
#> # receiving_yards <dbl>, receptions <dbl>, rushing_2pt_conversions <dbl>,
#> # rushing_tds <dbl>, rushing_yards <dbl>, and abbreviated variable names
#> # ¹sportradar_id, ²sleeper_id, ³player_name, ⁴receiving_fumbles_lost
# }
# \donttest{
try({ # try only shown here because sometimes CRAN checks are weird
template_conn <- ff_template(scoring_type = "sfb11", roster_type = "sfb11")
ff_scoringhistory(template_conn, season = 2020)
}) # end try
#> # A tibble: 5,392 × 26
#> season week gsis_id sportrada…¹ mfl_id playe…² pos team points compl…³
#> <int> <int> <chr> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl>
#> 1 2020 1 00-0035752 23461354-f… 15060 Chris … QB ARI 0.8 0
#> 2 2020 17 00-0035752 23461354-f… 15060 Chris … QB ARI 11.4 11
#> 3 2020 1 00-0035228 dd5a6b6e-f… 14056 Kyler … QB ARI 39.3 26
#> 4 2020 2 00-0035228 dd5a6b6e-f… 14056 Kyler … QB ARI 43.6 26
#> 5 2020 3 00-0035228 dd5a6b6e-f… 14056 Kyler … QB ARI 31.7 23
#> 6 2020 4 00-0035228 dd5a6b6e-f… 14056 Kyler … QB ARI 43.6 24
#> 7 2020 5 00-0035228 dd5a6b6e-f… 14056 Kyler … QB ARI 40.8 27
#> 8 2020 6 00-0035228 dd5a6b6e-f… 14056 Kyler … QB ARI 39.4 9
#> 9 2020 7 00-0035228 dd5a6b6e-f… 14056 Kyler … QB ARI 60.6 34
#> 10 2020 9 00-0035228 dd5a6b6e-f… 14056 Kyler … QB ARI 58.4 21
#> # … with 5,382 more rows, 16 more variables: interceptions <dbl>,
#> # passing_2pt_conversions <dbl>, passing_tds <dbl>, passing_yards <dbl>,
#> # receiving_2pt_conversions <dbl>, receiving_tds <dbl>,
#> # receiving_yards <dbl>, receptions <dbl>, rushing_2pt_conversions <dbl>,
#> # rushing_first_downs <dbl>, rushing_tds <dbl>, rushing_yards <dbl>,
#> # sacks <dbl>, special_teams_tds <dbl>, receiving_first_downs <dbl>,
#> # passing_first_downs <dbl>, and abbreviated variable names ¹sportradar_id, …
# }