Aggregator helper that calls nhl_stats_goalies() with
report_type = "summary" for every season in [start_season, end_season] and concatenates the results into a single tidy frame.
Mirrors the Stats.goalie_stats_summary convenience helper from
the nhl-api-py Python client.
Arguments
- start_season
Integer four-digit end year of the first season (e.g.
2022for the 2021-22 season).- end_season
Integer four-digit end year of the final season (inclusive). Must be
>= start_season.- game_type
Integer game type:
2= regular season (default),3= playoffs.- limit
Integer maximum number of rows per season request. Defaults to
50to matchnhl_stats_goalies().
Value
A fastRhockey_data / data.frame of concatenated goalie
summary stats with an added season column marking the season
each row came from. Returns NULL on outer failure.
Examples
# \donttest{
try(nhl_goalie_summary_range(start_season = 2023, end_season = 2024))
#> ── NHL Goalie Summary Range ─────────────────────────────── fastRhockey 1.0.0 ──
#> ℹ Data updated: 2026-04-13 17:05:20 UTC
#> # A tibble: 100 × 24
#> assists games_played games_started goalie_full_name goals goals_against
#> <int> <int> <int> <chr> <int> <int>
#> 1 0 49 48 Linus Ullmark 1 91
#> 2 1 62 62 Alexandar Georgiev 0 156
#> 3 1 58 58 Igor Shesterkin 0 144
#> 4 1 62 61 Jake Oettinger 0 144
#> 5 0 64 64 Connor Hellebuyck 0 157
#> 6 2 60 60 Andrei Vasilevskiy 0 159
#> 7 3 52 48 Vitek Vanecek 0 119
#> 8 1 64 63 Juuse Saros 0 171
#> 9 1 62 60 Ilya Sorokin 0 140
#> 10 2 50 48 Stuart Skinner 0 133
#> # ℹ 90 more rows
#> # ℹ 18 more variables: goals_against_average <dbl>, last_name <chr>,
#> # losses <int>, ot_losses <int>, penalty_minutes <int>, player_id <int>,
#> # points <int>, save_pct <dbl>, saves <int>, season_id <int>,
#> # shoots_catches <chr>, shots_against <int>, shutouts <int>,
#> # team_abbrevs <chr>, ties <lgl>, time_on_ice <int>, wins <int>, season <chr>
# }