Target Counts by Week

Target Counts by Week

fp_targets(pos = "offense", season)

Arguments

pos

Charcater. Specific position you want to return. Default will return all all offensive postions. Available options include

  • "offense"

  • "RB"

  • "WR"

  • "TE"
season

Numeric. The NFL season. If missing it will return the current year's season. Supported season only go back to 2013

Value

a tibble

Note

  • Bye weeks and games players did not play in are represented as NA

Examples


# all offensive positions for the 2018 season
fp_targets(season = 2018)
#> # A tibble: 542 x 23
#>    player pos   team  season    w1    w2    w3    w4    w5    w6    w7    w8
#>    <chr>  <chr> <chr>  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#>  1 Corey~ RB    PHI     2018     0     6     4    NA     0     3     2     1
#>  2 Darre~ RB    PHI     2018     7    NA    NA    NA    NA    NA    NA    NA
#>  3 Nelso~ WR    PHI     2018    10    12     5    12     4     5     7     6
#>  4 Jay A~ RB    PHI     2018     0     1    NA     4     1     0     0     0
#>  5 Zach ~ TE    PHI     2018    10    13    10    14    11     9    11     6
#>  6 Mike ~ WR    PHI     2018     3     0     0     0     0     0     0     0
#>  7 Dalla~ TE    PHI     2018     3     0     7     2     2     1     5     1
#>  8 DeAnd~ WR    HOU     2018     1     0     0     0     0     1     0     0
#>  9 Shelt~ WR    PHI     2018     0     2     0     0     1     0     0     0
#> 10 Wende~ RB    PHI     2018     0     1     5     5     4     2     2     3
#> # ... with 532 more rows, and 11 more variables: w9 <dbl>, w10 <dbl>,
#> #   w11 <dbl>, w12 <dbl>, w13 <dbl>, w14 <dbl>, w15 <dbl>, w16 <dbl>,
#> #   w17 <dbl>, ttl <dbl>, avg <dbl>

# total targets for TE's in the 2014 season
fp_targets(pos = "TE", season = 2014)
#> # A tibble: 134 x 22
#>    player team  season    w1    w2    w3    w4    w5    w6    w7    w8    w9
#>    <chr>  <chr>  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#>  1 Zach ~ SEA     2014     4     1     2    NA    NA    NA    NA    NA    NA
#>  2 Luke ~ SEA     2014     1     0     0    NA     4     6     0     4     5
#>  3 Andre~ GB      2014     4     2     5     0     2     5     1     3    NA
#>  4 Ryan ~ CLE     2014     0     0     0     0     0     0     0     0     0
#>  5 Richa~ GB      2014     0     1     0     2     1     0     2     5    NA
#>  6 Antho~ KC      2014     6     4     2     1     7    NA     1     4     3
#>  7 Travi~ KC      2014     5     6     4     9     3    NA     4     6     5
#>  8 Taylo~ TEN     2014     2     1     1     0     0     0     0     0    NA
#>  9 Delan~ TEN     2014     4    14     7     7     4     8     5     9    NA
#> 10 Beau ~ TEN     2014     0     0     0     0     0     0     0     0    NA
#> # ... with 124 more rows, and 10 more variables: w10 <dbl>, w11 <dbl>,
#> #   w12 <dbl>, w13 <dbl>, w14 <dbl>, w15 <dbl>, w16 <dbl>, w17 <dbl>,
#> #   ttl <dbl>, avg <dbl>

# all WR targets for the current NFL season.
fp_targets(pos = "WR")
#> # A tibble: 205 x 22
#>    player team  season    w1    w2    w3    w4    w5    w6    w7    w8    w9
#>    <chr>  <chr>  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#>  1 DeAnd~ HOU     2019     0    NA    NA    NA    NA    NA    NA    NA    NA
#>  2 Rober~ LAR     2019     0    NA    NA    NA    NA    NA    NA    NA    NA
#>  3 Tyler~ SEA     2019     0    NA    NA    NA    NA    NA    NA    NA    NA
#>  4 Adam ~ MIN     2019     0    NA    NA    NA    NA    NA    NA    NA    NA
#>  5 Anton~ PIT     2019     0    NA    NA    NA    NA    NA    NA    NA    NA
#>  6 Brand~ LAR     2019     0    NA    NA    NA    NA    NA    NA    NA    NA
#>  7 Nelso~ PHI     2019     0    NA    NA    NA    NA    NA    NA    NA    NA
#>  8 Jarvi~ CLE     2019     0    NA    NA    NA    NA    NA    NA    NA    NA
#>  9 JuJu ~ PIT     2019     0    NA    NA    NA    NA    NA    NA    NA    NA
#> 10 Tyree~ KC      2019     0    NA    NA    NA    NA    NA    NA    NA    NA
#> # ... with 195 more rows, and 10 more variables: w10 <dbl>, w11 <dbl>,
#> #   w12 <dbl>, w13 <dbl>, w14 <dbl>, w15 <dbl>, w16 <dbl>, w17 <dbl>,
#> #   ttl <dbl>, avg <dbl>