Potential Issues in pbp_data - missing game and gsis_id?

[marvin3FF]

1. Have you installed the latest development version of the package(s) in question?

Yes, updated this morning.

2. Describe the bug

When loading pbp data, I'm not seeing SF @ DEN from Week 3 in there. I believe last week SNF was already loaded in pbp by now.

I also noticed that Romeo Doubs gsis_id was not populating for Week 3. I'm not sure if other players are missing, but that's the first one I found.

3. Reprex

pbp <- load_pbp(2021:2022)

test <- pbp%>%
  filter(season==2022)%>%
  filter(week == 3)%>%
  group_by(posteam)%>%
  summarize(plays=n())

4. Expected Behaviour

I assumed Week 3 SNF would already be in there by now, but let me know if that's not the case.

Also, I haven't had issues with rookies since the patch last week, so I'm not sure why week 3 does not have Romeo Doubs' ID in the pbp data. For prior weeks, his ID is populating.

5. nflverse_sitrep()

sitrep

```r -- System Info ----------------------------------------------------------------------------------------------------------------------------------------------------- * R version 4.1.2 (2021-11-01) * Running under: Windows 10 x64 (build 22000) -- nflverse Packages ----------------------------------------------------------------------------------------------------------------------------------------------- * nflreadr (1.3.1) * nflseedR (1.1.0) * nflplotR (1.1.0) * nflfastR (4.4.0.9010) * nfl4th (1.0.2.9002) * nflverse (1.0.2) -- nflverse Options ------------------------------------------------------------------------------------------------------------------------------------------------ No options set for nflreadr, nflfastR, nflseedR, nfl4th, nflplotR, and nflverse -- nflverse Dependencies ------------------------------------------------------------------------------------------------------------------------------------------- * askpass (1.1) * gtable (0.3.1) * progressr (0.11.0) * bit (4.0.4) * hms (1.1.2) * proto (1.0.0) * bit64 (4.0.5) * httr (1.4.4) * purrr (0.3.4) * cachem (1.0.6) * isoband (0.2.5) * R6 (2.5.1) * cli (3.3.0) * janitor (2.1.0) * rappdirs (0.3.3) * clipr (0.8.0) * jsonlite (1.8.0) * RColorBrewer (1.1-3) * codetools (0.2-18) * labeling (0.4.2) * Rcpp (1.0.9) * colorspace (2.0-3) * lattice (0.20-45) * readr (2.1.2) * cpp11 (0.4.2) * lifecycle (1.0.1) * rlang (1.0.5) * crayon (1.5.1) * listenv (0.8.0) * rstudioapi (0.14) * curl (4.3.2) * lubridate (1.8.0) * scales (1.2.1) * data.table (1.14.2) * magick (2.7.3) * snakecase (0.11.0) * digest (0.6.29) * magrittr (2.0.3) * stringi (1.7.8) * dplyr (1.0.10) * MASS (7.3-54) * stringr (1.4.1) * ellipsis (0.3.2) * Matrix (1.3-4) * sys (3.4) * fansi (1.0.3) * memoise (2.0.1) * tibble (3.1.8) * farver (2.1.1) * mgcv (1.8-38) * tidyr (1.2.0) * fastmap (1.1.0) * mime (0.12) * tidyselect (1.1.2) * fastrmodels (1.0.2) * munsell (0.5.0) * tzdb (0.3.0) * furrr (0.3.1) * nlme (3.1-153) * utf8 (1.2.2) * future (1.28.0) * openssl (2.0.2) * vctrs (0.4.1) * generics (0.1.3) * parallelly (1.32.1) * viridisLite (0.4.1) * ggplot2 (3.3.6) * pillar (1.8.1) * vroom (1.5.7) * globals (0.16.1) * pkgconfig (2.0.3) * withr (2.5.0) * glue (1.6.2) * prettyunits (1.1.1) * xgboost (1.6.0.1) * gsubfn (0.7) * progress (1.2.2) ```

6. Screenshots

7. Additional context

[mrcaseb]

Can you please restart your session or try nflreadr::.clear_cache() and try again?

[marvin3FF]

@mrcaseb restarted and cleared cache! Still same results. Doubs is still missing gsis_id in pbp and SF vs DEN is still not populating

[mrcaseb]

We had some automation issues with that game and are currently updating the data. Should be up in about 10 minutes. Please restart/clear cache again before you try to load it.

[mrcaseb]

Both issue have been resolved now

pbp <- nflfastR::load_pbp(2022)

pbp |> 
  dplyr::filter(week == 3) |> 
  dplyr::count(game_id)
#> ── nflverse play by play data ──────────────────────────────────────────────────
#> ℹ Data updated: 2022-09-26 22:34:16 CEST
#> # A tibble: 15 × 2
#>    game_id             n
#>    <chr>           <int>
#>  1 2022_03_ATL_SEA   167
#>  2 2022_03_BAL_NE    169
#>  3 2022_03_BUF_MIA   177
#>  4 2022_03_CIN_NYJ   190
#>  5 2022_03_DET_MIN   196
#>  6 2022_03_GB_TB     172
#>  7 2022_03_HOU_CHI   181
#>  8 2022_03_JAX_LAC   175
#>  9 2022_03_KC_IND    172
#> 10 2022_03_LA_ARI    177
#> 11 2022_03_LV_TEN    173
#> 12 2022_03_NO_CAR    177
#> 13 2022_03_PHI_WAS   190
#> 14 2022_03_PIT_CLE   179
#> 15 2022_03_SF_DEN    174

pbp |> 
  dplyr::filter(stringr::str_detect(desc, "Doubs")) |> 
  dplyr::select(
    game_id, receiver_player_name, receiver_player_id, receiver, receiver_id
  )
#> ── nflverse play by play data ──────────────────────────────────────────────────
#> ℹ Data updated: 2022-09-26 22:34:16 CEST
#> # A tibble: 17 × 5
#>    game_id        receiver_player_name receiver_player_id receiver receiver_id
#>    <chr>          <chr>                <chr>              <chr>    <chr>      
#>  1 2022_01_GB_MIN R.Doubs              00-0037816         R.Doubs  00-0037816 
#>  2 2022_01_GB_MIN R.Doubs              00-0037816         R.Doubs  00-0037816 
#>  3 2022_01_GB_MIN <NA>                 <NA>               <NA>     <NA>       
#>  4 2022_01_GB_MIN R.Doubs              00-0037816         R.Doubs  00-0037816 
#>  5 2022_01_GB_MIN R.Doubs              00-0037816         R.Doubs  00-0037816 
#>  6 2022_01_GB_MIN R.Doubs              00-0037816         R.Doubs  00-0037816 
#>  7 2022_02_CHI_GB R.Doubs              00-0037816         R.Doubs  00-0037816 
#>  8 2022_02_CHI_GB R.Doubs              00-0037816         R.Doubs  00-0037816 
#>  9 2022_02_CHI_GB R.Doubs              00-0037816         R.Doubs  00-0037816 
#> 10 2022_03_GB_TB  R.Doubs              00-0037816         R.Doubs  00-0037816 
#> 11 2022_03_GB_TB  R.Doubs              00-0037816         R.Doubs  00-0037816 
#> 12 2022_03_GB_TB  R.Doubs              00-0037816         R.Doubs  00-0037816 
#> 13 2022_03_GB_TB  R.Doubs              00-0037816         R.Doubs  00-0037816 
#> 14 2022_03_GB_TB  R.Doubs              00-0037816         R.Doubs  00-0037816 
#> 15 2022_03_GB_TB  R.Doubs              00-0037816         R.Doubs  00-0037816 
#> 16 2022_03_GB_TB  R.Doubs              00-0037816         R.Doubs  00-0037816 
#> 17 2022_03_GB_TB  R.Doubs              00-0037816         R.Doubs  00-0037816

^{Created on 2022-09-26 with reprex v2.0.2}

[marvin3FF]

Thank you @mrcaseb!