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Scrape historical FanGraphs Guts! table, wOBA, FIP coefficients and constants

Usage

fg_guts()

Value

Returns a tibble of seasonal constants from FanGraphs

col_nametypes
seasoninteger
lg_wobanumeric
woba_scalenumeric
wBBnumeric
wHBPnumeric
w1Bnumeric
w2Bnumeric
w3Bnumeric
wHRnumeric
runSBnumeric
runCSnumeric
lg_r_panumeric
lg_r_wnumeric
cFIPnumeric

Examples

# \donttest{
  try(fg_guts())
#> ── GUTS data from FanGraphs.com ───────────────────── baseballr 1.6.0 ──
#>  Data updated: 2024-01-15 11:29:13 UTC
#> # A tibble: 153 × 14
#>    season lg_woba woba_scale   wBB  wHBP   w1B   w2B   w3B   wHR runSB
#>     <int>   <dbl>      <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#>  1   2023   0.318       1.20 0.696 0.726 0.883  1.24  1.57  2.00   0.2
#>  2   2022   0.31        1.26 0.689 0.72  0.884  1.26  1.60  2.07   0.2
#>  3   2021   0.314       1.21 0.692 0.722 0.879  1.24  1.57  2.01   0.2
#>  4   2020   0.32        1.18 0.699 0.728 0.883  1.24  1.56  1.98   0.2
#>  5   2019   0.32        1.16 0.69  0.719 0.87   1.22  1.53  1.94   0.2
#>  6   2018   0.315       1.23 0.69  0.72  0.88   1.25  1.58  2.03   0.2
#>  7   2017   0.321       1.18 0.693 0.723 0.877  1.23  1.55  1.98   0.2
#>  8   2016   0.318       1.21 0.691 0.721 0.878  1.24  1.57  2.02   0.2
#>  9   2015   0.313       1.25 0.687 0.718 0.881  1.26  1.59  2.06   0.2
#> 10   2014   0.31        1.30 0.689 0.722 0.892  1.28  1.64  2.13   0.2
#> # ℹ 143 more rows
#> # ℹ 4 more variables: runCS <dbl>, lg_r_pa <dbl>, lg_r_w <dbl>,
#> #   cFIP <dbl>
# }