Aggregator helper that combines biographical information
from the NHL player landing endpoint with the player's season-by-season
career totals. Returns a single multi-row "career-by-season" data frame.
Mirrors the Stats.player_career_stats convenience helper from the
nhl-api-py Python client.
Value
A fastRhockey_data / data.frame with one row per season
played. Always includes player_id, first_name, last_name,
position, season, game_type_id, plus the season stat columns
exposed by the landing endpoint's seasonTotals payload (e.g.
goals, assists, points, games_played, pim, shots,
team_name_default, league_abbrev, ...). Returns NULL on failure.
Examples
# \donttest{
try(nhl_player_career_stats(player_id = 8478402))
#> ── NHL Player Career Stats ──────────────────────────────── fastRhockey 1.0.0 ──
#> ℹ Data updated: 2026-04-13 17:05:22 UTC
#> # A tibble: 35 × 41
#> player_id first_name last_name position assists game_type_id games_played
#> <int> <chr> <chr> <chr> <int> <int> <int>
#> 1 8478402 Connor McDavid C 7 2 7
#> 2 8478402 Connor McDavid C 50 2 33
#> 3 8478402 Connor McDavid C 65 2 41
#> 4 8478402 Connor McDavid C 32 2 17
#> 5 8478402 Connor McDavid C 15 3 14
#> 6 8478402 Connor McDavid C 41 2 63
#> 7 8478402 Connor McDavid C 6 2 7
#> 8 8478402 Connor McDavid C 71 2 56
#> 9 8478402 Connor McDavid C 15 3 14
#> 10 8478402 Connor McDavid C 76 2 47
#> # ℹ 25 more rows
#> # ℹ 34 more variables: goals <int>, league_abbrev <chr>, pim <int>,
#> # points <int>, season <int>, sequence <int>, game_winning_goals <int>,
#> # plus_minus <int>, power_play_goals <int>, shorthanded_goals <int>,
#> # shots <int>, avg_toi <chr>, faceoff_winning_pctg <dbl>, ot_goals <int>,
#> # power_play_points <int>, shooting_pctg <dbl>, shorthanded_points <int>,
#> # team_name_default <chr>, team_name_cs <chr>, team_name_de <chr>, …
# }